Genetic Programming Bibliography entries for Mengjie Zhang

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GP coauthors/coeditors: Fahmi Abdulhamid, Kourosh Neshatian, Andy Song, Soha Ahmed, Lifeng Peng, Bing Xue, Qurrat Ul Ain, Harith Al-Sahaf, Mark Johnston, Brijesh Verma, Ausama Al-Sahaf, Isidro M Alvarez, Will N Browne, Peter Andreae, Huayang Jason Xie, Dirk V Arnold, Ryan J Urbanowicz, Muhammad Iqbal, Kamran Shafi, Forrest Stonedahl, William Michael Rand, Tea Tusar, Boris Naujoks, David Walker, Richard Everson, Jonathan E Fieldsend, Stefan Wagner, Michael Affenzeller, Zhun Fan, Yaochu Jin, Hod Lipson, Erik Goodman, Alexandru-Adrian Tantar, Emilia Tantar, Peter A N Bosman, Kent McClymont, Kevin Sim, Gabriela Ochoa, Ed Keedwell, Anna Esparcia-Alcazar, Frank William Moore, Jaume Bacardit, Ignacio Arnaldo Lucas, Kalyan Veeramachaneni, Una-May O'Reilly, Stephen L Smith, Stefano Cagnoni, Robert M Patton, Steven M Gustafson, Ekaterina (Katya) Vladislavleva, John R Woodward, Jerry Swan, Earl Barr, Krzysztof Krawiec, Chris Simons, John A Clark, Dirk Sudholt, Aniko Ekart, Carola Doerr, Anne Auger, Daniel L Atkins, Roman Klapaukh, Urvesh Bhowan, Xin Yao, Jurgen Branke, Su Nguyen, Christoph Pickardt, Francine Burling-Claridge, Guang Chen, Qi Chen, Ben Niu, Yi Mei, Barret Chin, Alexandre Sawczuk da Silva, Hui Ma, Grant Dick, Peter Alexander Whigham, Lam Thu Bui, Hisao Ishibuchi, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang, Carlton Downey, Jing Liu, Hamish Evans, Christopher Fogelberg, Anna Friedlander, Wenlong Fu, Edward Haslam, Samuel Hindmarsh, Rachel Hunt, Josiah Jacobsen-Grocott, Gang Chen, Thomas Liddle, Deepak Karunakaran, Deepa Karunakaran, David Kinzett, Daniel Howard, Jan Larres, Andrew Lensen, Malcolm Lett, Yuyu Liang, Yuxin Liu, Zili Zhang, Anqi Wang, Xiaoli Ma, Guifa Teng, Richard J Marshall, Atiya Masood, Daniel McGaughran, Aaron Chen, Damien O'Neill, John Park, Gang Chen2, Grant Patterson, Tessa Phillips, Michael Riley, Aaron Scoble, Bill Stephenson, Zane Bruce, Will Smart, Dunhai Chen, Binh Tran, Cao Truong Tran, Phillip Wong, Mark Johnson, Longfei Yan, Yang Yu, Victor Ciesielski, Mark Pritchard, Yun Zhang, Xiaoying (Sharon) Gao, Weijun (Norman) Lou, Minh Duc Cao, Bunna Ny, Dongping Qian, Yuejin Ma, Mario Koppen, Sergio Damas,

Genetic Programming Articles by Mengjie Zhang

  1. Bing Xue and Mengjie Zhang. Evolutionary Feature Manipulation in Data Mining/Big Data. SIGEvolution, 10(1):4-11, 2017. details

  2. Yuyu Liang and Mengjie Zhang and Will N. Browne. Image feature selection using genetic programming for figure-ground segmentation. Engineering Applications of Artificial Intelligence, 62:96-108, 2017. details

  3. Yuyu Liang and Mengjie Zhang and Will N. Browne. Genetic programming for evolving figure-ground segmentors from multiple features. Applied Soft Computing, 51:83-95, 2017. details

  4. Muhammad Iqbal and Bing Xue and Harith Al-Sahaf and Mengjie Zhang. Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification. IEEE Transactions on Evolutionary Computation, 21(4):569-587, 2017. details

  5. Harith Al-Sahaf and Ausama Al-Sahaf and Bing Xue and Mark Johnston and Mengjie Zhang. Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming. IEEE Transactions on Evolutionary Computation, 21(1):83-101, 2017. details

  6. Harith Al-Sahaf and Mengjie Zhang and Ausama Al-Sahaf and Mark Johnston. Keypoints Detection and Feature Extraction: A Dynamic Genetic Programming Approach for Evolving Rotation-invariant Texture Image Descriptors. IEEE Transactions on Evolutionary Computation, 2017. details

  7. Harith Al-Sahaf and Ausama Al-Sahaf and Bing Xue and Mark Johnston and Mengjie Zhang. Automatically Evolving Rotation-invariant Texture Image Descriptors by Genetic Programming. IEEE Transactions on Evolutionary Computation, 21(1):83-101, 2017. details

  8. Binh Tran and Bing Xue and Mengjie Zhang. Genetic programming for feature construction and selection in classification on high-dimensional data. Memetic Computing, 8(1):3-15, 2016. details

  9. Bing Xue and Mengjie Zhang and Will N. Browne and Xin Yao. A Survey on Evolutionary Computation Approaches to Feature Selection. IEEE Transactions on Evolutionary Computation, 20(4):606-626, 2016. details

  10. Su Nguyen and Mengjie Zhang and Kay Chen Tan. Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules. IEEE Transactions on Cybernetics, 2016. details

  11. Wenlong Fu and Mark Johnston and Mengjie Zhang. Genetic programming for edge detection: a Gaussian-based approach. Soft Computing, 20(3):1231-1248, 2016. details

  12. Juergen Branke and Su Nguyen and Christoph Pickardt and Mengjie Zhang. Automated Design of Production Scheduling Heuristics: A Review. IEEE Transactions on Evolutionary Computation, 20(1):110-124, 2016. details

  13. Harith Al-Sahaf and Mengjie Zhang and Mark Johnston. Binary Image Classification: A Genetic Programming Approach to the Problem of Limited Training Instances. Evolutionary Computation, 24(1):143-182, 2016. details

  14. Hui Ma and Anqi Wang and Mengjie Zhang. A Hybrid Approach Using Genetic Programming and Greedy Search for QoS-Aware Web Service Composition. Transactions on Large-Scale Data and Knowledge-Centered Systems, 8980:180-205, 2015. XVIII - Special Issue on Database and Expert-Systems Applications. details

  15. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling. IEEE Transactions on Cybernetics, 45(1):1-14, 2015. details

  16. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling. IEEE Transactions on Cybernetics, 45(1):1-14, 2015. details

  17. Muhammad Iqbal and Will N. Browne and Mengjie Zhang. Improving genetic search in XCS-based classifier systems through understanding the evolvability of classifier rules. Soft Computing, 19(7):1863-1880, 2015. details

  18. Wenlong Fu and Mark Johnston and Mengjie Zhang. Distribution-based invariant feature construction using genetic programming for edge detection. Soft Computing, 19(8):2371-2389, 2015. details

  19. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming. IEEE Transactions on Evolutionary Computation, 18(2):193-208, 2014. details

  20. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Genetic Programming for Evolving Due-date Assignment Models in Job Shop Environments. Evolutionary Computation, 22(1):105-138, 2014. details

  21. Muhammad Iqbal and Will N. Browne and Mengjie Zhang. Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems. IEEE Transactions on Evolutionary Computation, 18(4):465-480, 2014. details

  22. Wenlong Fu and Mark Johnston and Mengjie Zhang. Low-Level Feature Extraction for Edge Detection Using Genetic Programming. IEEE Transactions on Cybernetics, 44(8) 2014. details

  23. Urvesh Bhowan and Mark Johnston and Mengjie Zhang and Xin Yao. Reusing Genetic Programming for Ensemble Selection in Classification of Unbalanced Data. IEEE Transactions on Evolutionary Computation, 18(6):893-908, 2014. details

  24. Soha Ahmed and Mengjie Zhang and Lifeng Peng. Improving Feature Ranking for Biomarker Discovery in Proteomics Mass Spectrometry Data using Genetic Programming. Connection Science, 26(3):215-243, 2014. details

  25. Mengjie Zhang and Mario Koeppen and Sergio Damas. Special Issue on Computational Intelligence in Computer Vision and Image Processing. IEEE Computational Intelligence Magazine, 8(1):14-15, 2013. Guest Editorial. details

  26. Huayang Xie and Mengjie Zhang. Parent Selection Pressure Auto-tuning for Tournament Selection in Genetic Programming. IEEE Transactions on Evolutionary Computation, 17(1):1-19, 2013. details

  27. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Learning iterative dispatching rules for job shop scheduling with genetic programming. The International Journal of Advanced Manufacturing Technology, 67(1-4):85-100, 2013. details

  28. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem. IEEE Transactions on Evolutionary Computation, 17(5):621-639, 2013. details

  29. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Hybrid evolutionary computation methods for quay crane scheduling problems. Computer \& Operations Research, 40(8):2083-2093, 2013. details

  30. Muhammad Iqbal and Will N. Browne and Mengjie Zhang. Evolving optimum populations with XCS classifier systems. Soft Computing, 17(3):503-518, 2013. details

  31. Muhammad Iqbal and Will N. Browne and Mengjie Zhang. Learning complex, overlapping and niche imbalance Boolean problems using XCS-based classifier systems. Evolutionary Intelligence, 6(2):73-91, 2013. details

  32. Urvesh Bhowan and Mark Johnston and Mengjie Zhang and Xin Yao. Evolving Diverse Ensembles using Genetic Programming for Classification with Unbalanced Data. IEEE Transactions on Evolutionary Computation, 17(3):368-386, 2013. details

  33. Huayang Xie and Mengjie Zhang. Impacts of sampling strategies in tournament selection for genetic programming. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 16(4):615-633, 2012. details

  34. Andy Song and Mengjie Zhang. Genetic programming for detecting target motions. Connection Science, 24(2-3):117-141, 2012. details

  35. Kourosh Neshatian and Mengjie Zhang and Peter Andreae. A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming. IEEE Transactions on Evolutionary Computation, 16(5):645-661, 2012. details

  36. Carlton Downey and Mengjie Zhang and Jing Liu. Parallel linear genetic programming for multi-class classification. Genetic Programming and Evolvable Machines, 13(3):275-304, 2012. Special issue on selected papers from the 2011 European conference on genetic programming. details

  37. Urvesh Bhowan and Mark Johnston and Mengjie Zhang. Developing New Fitness Functions in Genetic Programming for Classification With Unbalanced Data. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 42(2):406-421, 2012. details

  38. Harith Al-Sahaf and Andy Song and Kourosh Neshatian and Mengjie Zhang. Two-Tier genetic programming: towards raw pixel-based image classification. Expert Systems with Applications, 39(16):12291-12301, 2012. details

  39. Kourosh Neshatian and Mengjie Zhang. Using genetic programming for context-sensitive feature scoring in classification problems. Connection Science, 23(3):183-207, 2011. details

  40. Huayang Xie and Mengjie Zhang. Depth-Control Strategies for Crossover in Tree-based Genetic Programming. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 15(9):1865-1878, 2011. details

  41. David Kinzett and Mark Johnston and Mengjie Zhang. Numerical simplification for bloat control and analysis of building blocks in genetic programming. Evolutionary Intelligence, 2(4):151-168, 2009. Special Issue. details

  42. Daniel McGaughran and Mengjie Zhang. Evolving More Representative Programs with Genetic Programming. International Journal of Software Engineering and Knowledge Engineering (IJSEKE), 19(1):1-22, 2009. details

  43. Mengjie Zhang and Phillip Wong. Explicitly Simplifying Evolved Genetic Programs During Evolution. International Journal of Computational Intelligence and Applications, 7(2):201-232, 2008. details

  44. Mengjie Zhang and Phillip Wong. Genetic programming for medical classification: a program simplification approach. Genetic Programming and Evolvable Machines, 9(3):229-255, 2008. details

  45. Peter Andreae and Huayang Xie and Mengjie Zhang. Genetic Programming for detecting rhythmic stress in spoken English. International Journal of Knowledge-Based and Intelligent Engineering Systems, 12(1):15-28, 2008. details

  46. Mengjie Zhang and Christopher Graeme Fogelberg and Yuejin Ma. A Linear Structured Approach and A Refined Fitness Function in Genetic Programming for Multi-class Object Classification. Connection Science, 19(4):339-359, 2007. Special Issue: Evolutionary Learning and Optimisation. details

  47. Mengjie Zhang and Xiaoying Gao and Weijun Lou. A New Crossover Operator in Genetic Programming for Object Classification. IEEE Transactions on Systems, Man and Cybernetics, Part B, 37(5):1332-1343, 2007. details

  48. Mengjie Zhang. Improving Object Detection Performance with Genetic Programming. International Journal on Artificial Intelligence Tools, 16(5):849-873, 2007. details

  49. Xiaoli Ma and Guifa Teng and Mengjie Zhang. Carbon Potential Using Genetic Programming. Control and Automation, 23(9):239-241, 2007. details

  50. Mengjie Zhang and Will Smart. Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification. Pattern Recognition Letters, 27(11):1266-1274, 2006. Evolutionary Computer Vision and Image Understanding. details

  51. Mengjie Zhang and Malcolm Lett. Genetic Programming for Object Detection: Improving Fitness Functions and Optimising Training Data. The IEEE Intelligent Informatics Bulletin, 7(1):12-21, 2006. details

  52. Mengjie Zhang and Urvesh Bhowan and Bunna Ny. Genetic Programming for Object Detection: A Two-Phase Approach with an Improved Fitness Function. Electronic Letters on Computer Vision and Image Analysis, 6(1):27-43, 2006. details

  53. Mengjie Zhang and Victor Ciesielski. Neural Networks and Genetic Algorithms for Domain Independent Multiclass Object Detection. International Journal of Computational Intelligence and Applications, 4(1):77-108, 2004. details

  54. Mengjie Zhang and Victor B. Ciesielski and Peter Andreae. A Domain-independent Window approach to Multiclass Object Detection using Genetic Programming. EURASIP Journal on Applied Signal Processing, 2003(8):841-859, 2003. Special Issue on Genetic and Evolutionary Computation for Signal Processing and Image Analysis. details

  55. Qi Chen and Mengjie Zhang and Bing Xue. Feature Selection to Improve Generalisation of Genetic Programming for High-Dimensional Symbolic Regression. IEEE Transactions on Evolutionary Computation. Accepted for future publication. details

Genetic Programming PhD doctoral thesis Mengjie Zhang

Genetic Programming Conference proceedings edited by Mengjie Zhang

Genetic Programming conference papers by Mengjie Zhang

  1. Tessa Phillips and Mengjie Zhang and Bing Xue. Genetic programming for solving common and domain-independent generic recursive problems. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 1279-1286, Donostia, San Sebastian, Spain, 2017. IEEE. details

  2. Damien O'Neill and Harith Al-Sahaf and Bing Xue and Mengjie Zhang. Common subtrees in related problems: A novel transfer learning approach for genetic programming. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 1287-1294, Donostia, San Sebastian, Spain, 2017. IEEE. details

  3. Su Nguyen and Mengjie Zhang. A PSO-based hyper-heuristic for evolving dispatching rules in job shop scheduling. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 882-889, Donostia, San Sebastian, Spain, 2017. IEEE. details

  4. Deepa Karunakaran and Yi Mei and Gang Chen and Mengjie Zhang. Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 364-371, Donostia, San Sebastian, Spain, 2017. IEEE. details

  5. Josiah Jacobsen-Grocott and Yi Mei and Gang Chen and Mengjie Zhang. Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 1948-1955, Donostia, San Sebastian, Spain, 2017. IEEE. details

  6. Alexandre Sawczuk da Silva and Yi Mei and Hui Ma and Mengjie Zhang. Fragment-based Genetic Programming for Fully Automated Multi-objective Web Service Composition. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 353-360, Berlin, Germany, 2017. ACM. details

  7. Qurrat Ul Ain and Bing Xue and Harith Al-Sahaf and Mengjie Zhang. Genetic programming for skin cancer detection in dermoscopic images. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 2420-2427, Donostia, San Sebastian, Spain, 2017. IEEE. details

  8. Cao Truong Tran and Mengjie Zhang and Peter Andreae and Bing Xue. Genetic Programming Based Feature Construction for Classification with Incomplete Data. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 1033-1040, Berlin, Germany, 2017. ACM. details

  9. Cao Truong Tran and Mengjie Zhang and Peter Andreae and Bing Xue. Multiple Imputation and Genetic Programming for Classification with Incomplete Data. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 521-528, Berlin, Germany, 2017. ACM. details

  10. Binh Tran and Bing Xue and Mengjie Zhang. Using Feature Clustering for GP-Based Feature Construction on High- Dimensional Data. In Mauro Castelli and James McDermott and Lukas Sekanina editors, EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming, volume 10196, pages 210-226, Amsterdam, 2017. Springer Verlag. details

  11. Yi Mei and Su Nguyen and Mengjie Zhang. Evolving Time-Invariant Dispatching Rules in Job Shop Scheduling with Genetic Programming. In Mauro Castelli and James McDermott and Lukas Sekanina editors, EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming, volume 10196, pages 147-163, Amsterdam, 2017. Springer Verlag. details

  12. Yuxin Liu and Yi Mei and Mengjie Zhang and Zili Zhang. Automated Heuristic Design Using Genetic Programming Hyper-heuristic for Uncertain Capacitated Arc Routing Problem. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 290-297, Berlin, Germany, 2017. ACM. details

  13. Yuyu Liang and Mengjie Zhang and Will N. Browne. Learning Figure-ground Image Segmentors by Genetic Programming. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 239-240, Berlin, Germany, 2017. ACM. details

  14. Andrew Lensen and Bing Xue and Mengjie Zhang. Improving K-means Clustering with Genetic Programming for Feature Construction. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 237-238, Berlin, Germany, 2017. ACM. details

  15. Andrew Lensen and Bing Xue and Mengjie Zhang. GPGC: Genetic Programming for Automatic Clustering Using a Flexible Non-hyper-spherical Graph-based Approach. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 449-456, Berlin, Germany, 2017. ACM. details

  16. Deepak Karunakaran and Yi Mei and Gang Chen and Mengjie Zhang. Toward Evolving Dispatching Rules for Dynamic Job Shop Scheduling Under Uncertainty. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 282-289, Berlin, Germany, 2017. ACM. details

  17. Qi Chen and Mengjie Zhang and Bing Xue. New Geometric Semantic Operators in Genetic Programming: Perpendicular Crossover and Random Segment Mutation. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 223-224, Berlin, Germany, 2017. ACM. details

  18. Qi Chen and Bing Xue and Yi Mei and Mengjie Zhang. Geometric Semantic Crossover with an Angle-aware Mating Scheme in Genetic Programming for Symbolic Regression. In Mauro Castelli and James McDermott and Lukas Sekanina editors, EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming, volume 10196, pages 229-245, Amsterdam, 2017. Springer Verlag. details

  19. Harith Al-Sahaf and Bing Xue and Mengjie Zhang. Evolving Texture Image Descriptors Using a Multitree Genetic Programming Representation. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 219-220, Berlin, Germany, 2017. ACM. details

  20. Alexandre Sawczuk da Silva and Hui Ma and Mengjie Zhang. A Graph-based QoS-Aware Method for Web Service Composition with Branching. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 131-132, Denver, USA, 2016. ACM. details

  21. Muhammad Iqbal and Bing Xue and Mengjie Zhang. Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems. In James Bailey and Latifur Khan and Takashi Washio and Gillian Dobbie and Joshua Zhexue Huang and Ruili Wang editors, Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II, volume 9652, pages 117-129, 2016. Springer. details

  22. Soha Ahmed and Mengjie Zhang and Lifeng Peng and Bing Xue. A Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data. In Giovanni Squillero and Paolo Burelli editors, 19th European Conference on Applications of Evolutionary Computation, EvoApplications 2016, volume 9597, pages 106-122, Porto, Portugal, 2016. Springer. details

  23. Yang Yu and Hui Ma and Mengjie Zhang. A genetic programming approach to distributed execution of data-intensive web service compositions. In Proceedings of the Australasian Computer Science Week Multiconference, ACSW '16, pages 29:1-29:9, Canberra, Australia, 2016. ACM. details

  24. Yuyu Liang and Mengjie Zhang and Will N. Browne. Multi-objective Genetic Programming for Figure-Ground Image Segmentation. In Tapabrata Ray and Ruhul A. Sarker and Xiaodong Li editors, Artificial Life and Computational Intelligence - Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, February 2-5, 2016, Proceedings, volume 9592, pages 134-146, 2016. Springer. details

  25. Deepak Karunakaran and Gang Chen and Mengjie Zhang. Parallel Multi-objective Job Shop Scheduling Using Genetic Programming. In Tapabrata Ray and Ruhul A. Sarker and Xiaodong Li editors, Artificial Life and Computational Intelligence - Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, February 2-5, 2016, Proceedings, volume 9592, pages 234-245, 2016. Springer. details

  26. Mengjie Zhang and Bing Xue. Evolutionary Computation for Feature Selection and Feature Construction. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 861-881, Denver, Colorado, USA, 2016. ACM. tutorial. details

  27. Longfei Yan and Yi Mei and Hui Ma and Mengjie Zhang. Evolutionary Web Service Composition: A Graph-based Memetic Algorithm. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 201-208, Vancouver, 2016. IEEE Press. details

  28. Binh Tran and Mengjie Zhang and Bing Xue. Multiple feature construction in classification on high-dimensional data using GP. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016. details

  29. Cao Truong Tran and Mengjie Zhang and Peter Andreae and Bing Xue. Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 69-70, Denver, USA, 2016. ACM. details

  30. Cao Truong Tran and Mengjie Zhang and Peter Andreae. A Genetic Programming-based Imputation Method for Classification with Missing Data. In Malcolm I. Heywood and James McDermott and Mauro Castelli and Ernesto Costa and Kevin Sim editors, EuroGP 2016: Proceedings of the 19th European Conference on Genetic Programming, volume 9594, pages 149-163, Porto, Portugal, 2016. Springer Verlag. details

  31. Cao Truong Tran and Mengjie Zhang and Peter Andreae. Directly Evolving Classifiers for Missing Data using Genetic Programming. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 5278-5285, Vancouver, 2016. IEEE Press. details

  32. Michael Riley and Yi Mei and Mengjie Zhang. Improving Job Shop Dispatching Rules via Terminal Weighting and Adaptive Mutation in Genetic Programming. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3362-3369, Vancouver, 2016. IEEE Press. details

  33. Tessa Phillips and Mengjie Zhang and Bing Xue. Genetic Programming for Evolving Programs with Recursive Structures. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 5044-5051, Vancouver, 2016. IEEE Press. details

  34. John Park and Yi Mei and Gang Chen and Mengjie Zhang. Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 109-110, Denver, USA, 2016. ACM. details

  35. John Park and Yi Mei and Su Nguyen and Gang Chen2 and Mengjie Zhang. Genetic Programming based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches. In Malcolm I. Heywood and James McDermott and Mauro Castelli and Ernesto Costa and Kevin Sim editors, EuroGP 2016: Proceedings of the 19th European Conference on Genetic Programming, volume 9594, pages 115-132, Porto, Portugal, 2016. Springer Verlag. details

  36. Su Nguyen and Yi Mei and Hui Ma and Aaron Chen and Mengjie Zhang. Evolutionary Scheduling and Combinatorial Optimisation: Applications, Challenges, and Future Directions. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3053-3060, Vancouver, 2016. IEEE Press. details

  37. Yi Mei and Mengjie Zhang and Su Nguyen. Feature Selection in Evolving Job Shop Dispatching Rules with Genetic Programming. In Tobias Friedrich editor, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 365-372, Denver, USA, 2016. ACM. details

  38. Yi Mei and Mengjie Zhang. A Comprehensive Analysis on Reusability of GP-Evolved Job Shop Dispatching Rules. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3590-3597, Vancouver, 2016. IEEE Press. details

  39. Atiya Masood and Yi Mei and Gang Chen and Mengjie Zhang. Many-Objective Genetic Programming for Job-Shop Scheduling. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 209-216, Vancouver, 2016. IEEE Press. details

  40. Yuyu Liang and Mengjie Zhang and Will N. Browne. Figure-ground Image Segmentation using Genetic Programming and Feature Selection. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3839-3846, Vancouver, 2016. IEEE Press. details

  41. Andrew Lensen and Harith Al-Sahaf and Mengjie Zhang and Bing Xue. Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data. In Malcolm I. Heywood and James McDermott and Mauro Castelli and Ernesto Costa and Kevin Sim editors, EuroGP 2016: Proceedings of the 19th European Conference on Genetic Programming, volume 9594, pages 51-67, Porto, Portugal, 2016. Springer Verlag. details

  42. Muhammad Iqbal and Mengjie Zhang and Bing Xue. Improving Classification on Images by Extracting and Transferring Knowledge in Genetic Programming. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3582-3589, Vancouver, 2016. IEEE Press. details

  43. Edward Haslam and Bing Xue and Mengjie Zhang. Further Investigation on Genetic Programming with Transfer Learning for Symbolic Regression. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3598-3605, Vancouver, 2016. IEEE Press. details

  44. Qi Chen and Mengjie Zhang and Bing Cue. Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation. In Tobias Friedrich editor, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 709-716, Denver, USA, 2016. ACM. details

  45. Qi Chen and Bing Xue and Ben Niu and Mengjie Zhang. Improving Generalisation of Genetic Programming for High-Dimensional Symbolic Regression with Feature Selection. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3793-3800, Vancouver, 2016. IEEE Press. details

  46. Stefano Cagnoni and Mengjie Zhang. Evolutionary Computer Vision and Image Processing: some FAQs, Current Challenges and Future Perspectives. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 1267-1271, Vancouver, 2016. IEEE Press. details

  47. Francine Burling-Claridge and Muhammad Iqbal and Mengjie Zhang. Evolutionary Algorithms for Classification of Mammographic Densities using Local Binary Patterns and Statistical Features. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3847-3854, Vancouver, 2016. IEEE Press. details

  48. Isidro M. Alvarez and Will N. Browne and Mengjie Zhang. Human-inspired Scaling in Learning Classifier Systems: Case Study on the n-bit Multiplexer Problem Set. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 429-436, Denver, USA, 2016. ACM. details

  49. Alexandre Sawczuk da Silva and Hui Ma and Mengjie Zhang. A GP Approach to QoS-Aware Web Service Composition including Conditional Constraints. In Yadahiko Murata editor, Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 2113-2120, Sendai, Japan, 2015. IEEE Press. details

  50. Mengjie Zhang and Stefano Cagnoni. Evolutionary Image Analysis, Signal Processing and Pattern Recognition. In Anabela Simoes editor, GECCO 2015 Advanced Tutorials, pages 473-502, Madrid, Spain, 2015. ACM. details

  51. Yang Yu and Hui Ma and Mengjie Zhang. F-MOGP: A Novel Many-Objective Evolutionary Approach to QoS-Aware Data Intensive Web Service Composition. In Yadahiko Murata editor, Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 2843-2850, Sendai, Japan, 2015. IEEE Press. details

  52. Cao Truong Tran and Mengjie Zhang and Peter Andreae. Multiple Imputation for Missing Data Using Genetic Programming. In Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors, GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 583-590, Madrid, Spain, 2015. ACM. details

  53. Cao Truong Tran and Peter Andreae and Mengjie Zhang. Impact of Imputation of Missing Values on Genetic Programming based Multiple Feature Construction for Classification. In Yadahiko Murata editor, Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 2398-2405, Sendai, Japan, 2015. IEEE Press. details

  54. John Park and Su Nguyen and Mengjie Zhang and Mark Johnston. A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop Scheduling. In Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors, GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1451-1452, Madrid, Spain, 2015. ACM. details

  55. John Park and Su Nguyen and Mengjie Zhang and Mark Johnston. Evolving Ensembles of Dispatching Rules using Genetic Programming for Job Shop Scheduling. In Penousal Machado and Malcolm I. Heywood and James McDermott and Mauro Castelli and Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim editors, 18th European Conference on Genetic Programming, volume 9025, pages 92-104, Copenhagen, 2015. Springer. details

  56. Su Nguyen and Mengjie Zhang and Kay Chen Tan. Enhancing Genetic Programming based Hyper-Heuristics for Dynamic Multi-objective Job Shop Scheduling Problems. In Yadahiko Murata editor, Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 2781-2788, Sendai, Japan, 2015. IEEE Press. details

  57. Yuyu Liang and Mengjie Zhang and Will Browne. A Supervised Figure-ground Segmentation Method using Genetic Programming. In Antonio M. Mora and Giovanni Squillero editors, 18th European Conference on the Applications of Evolutionary Computation, volume 9028, pages 491-503, Copenhagen, 2015. Springer. details

  58. Andrew Lensen and Harith Al-Sahaf and Mengjie Zhang and Bing Xue. A hybrid Genetic Programming approach to feature detection and image classification. In 2015 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2015. details

  59. Andrew Lensen and Harith Al-Sahaf and Mengjie Zhang and Brijesh Verma. Genetic Programming for Algae Detection in River Images. In Yadahiko Murata editor, Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 2468-2475, Sendai, Japan, 2015. IEEE Press. details

  60. Rachel Hunt and Mark Johnston and Mengjie Zhang. Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling. In The 15th European Conference on Evolutionary Computation in Combinatorial Optimisation, Copenhagen, 2015. Springer. details

  61. Qi Chen and Bing Xue and Mengjie Zhang. Generalisation and Domain Adaptation in GP with Gradient Descent for Symbolic Regression. In Yadahiko Murata editor, Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 1137-1144, Sendai, Japan, 2015. IEEE Press. details

  62. Harith Al-Sahaf and Mengjie Zhang and Mark Johnston. Evolutionary Image Descriptor: A Dynamic Genetic Programming Representation for Feature Extraction. In Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors, GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 975-982, Madrid, Spain, 2015. ACM. details

  63. Harith Al-Sahaf and Mengjie Zhang and Mark Johnston and Brijesh Verma. Image Descriptor: A Genetic Programming Approach to Multiclass Texture Classification. In Yadahiko Murata editor, Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 2460-2467, Sendai, Japan, 2015. IEEE Press. details

  64. Su Nguyen and Mengjie Zhang and Mark Johnston. Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming. In Miguel Nicolau and Krzysztof Krawiec and Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and Juan J. Merelo and Victor M. Rivas Santos and Kevin Sim editors, 17th European Conference on Genetic Programming, volume 8599, pages 124-136, Granada, Spain, 2014. Springer. details

  65. Alexandre Sawczuk da Silva and Hui Ma and Mengjie Zhang. A GP Approach to QoS-Aware Web Service Composition and Selection. In Grant Dick and Will N. Browne and Peter Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors, Proceedings 10th International Conference on Simulated Evolution and Learning, SEAL 2014, volume 8886, pages 180-191, Dunedin, New Zealand, 2014. Springer. details

  66. John Park and Su Nguyen and Mengjie Zhang and Mark Johnston. Enhancing Heuristics for Order Acceptance and Scheduling Using Genetic Programming. In Grant Dick and Will N. Browne and Peter A. Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors, Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings, volume 8886, pages 723-734, 2014. Springer. details

  67. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling. In Grant Dick and Will N. Browne and Peter A. Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors, Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings, volume 8886, pages 656-667, 2014. Springer. details

  68. Richard J. Marshall and Mark Johnston and Mengjie Zhang. Developing a Hyper-Heuristic Using Grammatical Evolution and the Capacitated Vehicle Routing Problem. In Grant Dick and Will N. Browne and Peter A. Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors, Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings, volume 8886, pages 668-679, 2014. Springer. details

  69. Wenlong Fu and Mark Johnston and Mengjie Zhang. Automatic Resolution Selection for Edge Detection Using Genetic Programming. In Grant Dick and Will N. Browne and Peter A. Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors, Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings, volume 8886, pages 810-821, 2014. Springer. details

  70. Harith Al-Sahaf and Mengjie Zhang and Mark Johnston. Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances. In Grant Dick and Will N. Browne and Peter A. Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors, Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings, volume 8886, pages 335-346, 2014. Springer. details

  71. Soha Ahmed and Mengjie Zhang and Lifeng Peng and Bing Xue. Genetic Programming for Measuring Peptide Detectability. In Grant Dick and Will N. Browne and Peter A. Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors, Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings, volume 8886, pages 593-604, 2014. Springer. details

  72. Harith Al-Sahaf and Mengjie Zhang and Mark Johnston. Genetic Programming Evolved Filters from a Small Number of Instances for Multiclass Texture Classification. In Michael J. Cree and Lee V. Streeter and John Perrone and Michael Mayo and Anthony M. Blake editors, Proceedings of the 29th International Conference on Image and Vision Computing New Zealand, IVCNZ 2014, pages 84-89, Hamilton, New Zealand, 2014. ACM. details

  73. Yang Yu and Hui Ma and Mengjie Zhang. A Hybrid GP-Tabu Approach to QoS-Aware Data Intensive Web Service Composition. In Grant Dick and Will N. Browne and Peter Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors, Proceedings 10th International Conference on Simulated Evolution and Learning, SEAL 2014, volume 8886, pages 106-118, Dunedin, New Zealand, 2014. Springer. details

  74. Yang Yu and Hui Ma and Mengjie Zhang. A Genetic Programming Approach to Distributed QoS-Aware Web Service Composition. In Carlos A. Coello Coello editor, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 1840-1846, Beijing, China, 2014. details

  75. Su Nguyen and Mengjie Zhang and Mark Johnston. A Sequential Genetic Programming Method to Learn Forward Construction Heuristics for Order Acceptance and Scheduling. In Carlos A. Coello Coello editor, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 1824-1831, Beijing, China, 2014. details

  76. Richard J. Marshall and Mark Johnston and Mengjie Zhang. A Comparison between Two Evolutionary Hyper-Heuristics for Combinatorial Optimisation. In Grant Dick and Will N. Browne and Peter Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors, Proceedings 10th International Conference on Simulated Evolution and Learning, SEAL 2014, volume 8886, pages 618-630, Dunedin, New Zealand, 2014. Springer. details

  77. Richard J. Marshall and Mark Johnston and Mengjie Zhang. Hyper-heuristics, grammatical evolution and the capacitated vehicle routing problem. In Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors, GECCO Comp '14: Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion, pages 71-72, Vancouver, BC, Canada, 2014. ACM. details

  78. Yuyu Liang and Mengjie Zhang and Will N. Browne. Image Segmentation: A Survey of Methods Based on Evolutionary Computation. In Grant Dick and Will N. Browne and Peter Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors, Proceedings 10th International Conference on Simulated Evolution and Learning, SEAL 2014, volume 8886, pages 847-859, Dunedin, New Zealand, 2014. Springer. details

  79. Rachel Hunt and Mark Johnston and Mengjie Zhang. Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programming. In Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors, GECCO '14: Proceedings of the 2014 conference on Genetic and evolutionary computation, pages 927-934, Vancouver, BC, Canada, 2014. ACM. details

  80. Rachel Hunt and Mark Johnston and Mengjie Zhang. Evolving Machine-Specific Dispatching Rules for a Two-Machine Job Shop using Genetic Programming. In Carlos A. Coello Coello editor, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 618-625, Beijing, China, 2014. details

  81. Wenlong Fu and Mark Johnston and Mengjie Zhang. Is a Single Image Sufficient for Evolving Edge Features by Genetic Programming?. In Anna Isabel Esparcia-Alcazar and Antonio Miguel Mora editors, 17th European Conference on the Applications of Evolutionary Computation, volume 8602, pages 451-463, Granada, 2014. Springer. details

  82. Wenlong Fu and Mark Johnston and Mengjie Zhang. Unsupervised Learning for Edge Detection Using Genetic Programming. In Carlos A. Coello Coello editor, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 117-124, Beijing, China, 2014. details

  83. Soha Ahmed and Mengjie Zhang and Lifeng Peng. GPMS: A Genetic Programming Based Approach to Multiple Alignment of Liquid Chromatography-Mass Spectrometry Data. In Anna Isabel Esparcia-Alcazar and Antonio Miguel Mora editors, 17th European Conference on the Applications of Evolutionary Computation, volume 8602, pages 915-927, Granada, 2014. Springer. details

  84. Soha Ahmed and Mengjie Zhang and Lifeng Peng. Prediction of detectable peptides in MS data using genetic programming. In Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors, GECCO Comp '14: Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion, pages 37-38, Vancouver, BC, Canada, 2014. ACM. details

  85. Soha Ahmed and Mengjie Zhang and Lifeng Peng and Bing Xue. Multiple feature construction for effective biomarker identification and classification using genetic programming. In Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors, GECCO '14: Proceedings of the 2014 conference on Genetic and evolutionary computation, pages 249-256, Vancouver, BC, Canada, 2014. ACM. details

  86. Soha Ahmed and Mengjie Zhang and Lifeng Peng. A New GP-Based Wrapper Feature Construction Approach to Classification and Biomarker Identification. In Carlos A. Coello Coello editor, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 2756-2763, Beijing, China, 2014. details

  87. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Learning Reusable Initial Solutions for Multi-Objective Order Acceptance and Scheduling Problems with Genetic Programming. In Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors, Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 157-168, Vienna, Austria, 2013. Springer Verlag. details

  88. Yang Yu and Hui Ma and Mengjie Zhang. An Adaptive Genetic Programming Approach to QoS-aware Web Services Composition. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 1740-1747, Cancun, Mexico, 2013. details

  89. Anqi Wang and Hui Ma and Mengjie Zhang. Genetic Programming with Greedy Search for Web Service Composition. In Hendrik Decker and Lenka Lhotska and Sebastian Link and Josef Basl and A Min Tjoa editors, 24th International Conference on Database and Expert, DEXA 2013, volume 8056, pages 9-17, Prague, Czech Republic, 2013. Springer. details

  90. Aaron Scoble and Will Browne and Bill Stephenson and Zane Bruce and Mengjie Zhang. Evolutionary Spatial Auto-Correlation for Assessing Earthquake Liquefaction Potential using Parallel Linear Genetic Programming. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 2940-2947, Cancun, Mexico, 2013. details

  91. John Park and Su Nguyen and Mengjie Zhang and Mark Johnston. Genetic Programming for Order Acceptance and Scheduling. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 1005-1012, Cancun, Mexico, 2013. details

  92. John Park and Su Nguyen and Mark Johnston and Mengjie Zhang. Evolving Stochastic Dispatching Rules for Order Acceptance and Scheduling via Genetic Programming. In Stephen Cranefield and Abhaya Nayak editors, Proceedings of the 26th Australasian Joint Conference on Artificial Intelligence (AI2013), volume 8272, pages 478-489, Dunedin, New Zealand, 2013. Springer. details

  93. Roman Klapaukh and Will Browne and Mengjie Zhang. The Effect of Primitive Sets on the Expression of Evolved Images. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 725-732, Cancun, Mexico, 2013. details

  94. Muhammad Iqbal and Will N. Browne and Mengjie Zhang. Comparison of two methods for computing action values in XCS with code-fragment actions. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 1235-1242, Amsterdam, The Netherlands, 2013. ACM. details

  95. Muhammad Iqbal and Will N. Browne and Mengjie Zhang. Extending learning classifier system with cyclic graphs for scalability on complex, large-scale Boolean problems. In Christian Blum and Enrique Alba and Anne Auger and Jaume Bacardit and Josh Bongard and Juergen Branke and Nicolas Bredeche and Dimo Brockhoff and Francisco Chicano and Alan Dorin and Rene Doursat and Aniko Ekart and Tobias Friedrich and Mario Giacobini and Mark Harman and Hitoshi Iba and Christian Igel and Thomas Jansen and Tim Kovacs and Taras Kowaliw and Manuel Lopez-Ibanez and Jose A. Lozano and Gabriel Luque and John McCall and Alberto Moraglio and Alison Motsinger-Reif and Frank Neumann and Gabriela Ochoa and Gustavo Olague and Yew-Soon Ong and Michael E. Palmer and Gisele Lobo Pappa and Konstantinos E. Parsopoulos and Thomas Schmickl and Stephen L. Smith and Christine Solnon and Thomas Stuetzle and El-Ghazali Talbi and Daniel Tauritz and Leonardo Vanneschi editors, GECCO '13: Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference, pages 1045-1052, Amsterdam, The Netherlands, 2013. ACM. details

  96. Wenlong Fu and Mark Johnston and Mengjie Zhang. Automatic Construction of Gaussian-Based Edge Detectors Using Genetic Programming. In Anna I. Esparcia-Alcazar and Antonio Della Cioppa and Ivanoe De Falco and Ernesto Tarantino and Carlos Cotta and Robert Schaefer and Konrad Diwold and Kyrre Glette and Andrea Tettamanzi and Alexandros Agapitos and Paolo Burrelli and J. J. Merelo and Stefano Cagnoni and Mengjie Zhang and Neil Urquhart and Kevin Sim and Aniko Ekart and Francisco Fernandez de Vega and Sara Silva and Evert Haasdijk and Gusz Eiben and Anabela Simoes and Philipp Rohlfshagen editors, Applications of Evolutionary Computing, EvoApplications 2013: EvoCOMNET, EvoCOMPLEX, EvoENERGY, EvoFIN, EvoGAMES, EvoIASP, EvoINDUSTRY, EvoNUM, EvoPAR, EvoRISK, EvoROBOT, EvoSTOC, volume 7835, pages 365-375, Vienna, 2013. Springer Verlag. details

  97. Wenlong Fu and Mark Johnston and Mengjie Zhang. Genetic Programming for Automatic Construction of Variant Features in Edge Detection. In Anna I. Esparcia-Alcazar and Antonio Della Cioppa and Ivanoe De Falco and Ernesto Tarantino and Carlos Cotta and Robert Schaefer and Konrad Diwold and Kyrre Glette and Andrea Tettamanzi and Alexandros Agapitos and Paolo Burrelli and J. J. Merelo and Stefano Cagnoni and Mengjie Zhang and Neil Urquhart and Kevin Sim and Aniko Ekart and Francisco Fernandez de Vega and Sara Silva and Evert Haasdijk and Gusz Eiben and Anabela Simoes and Philipp Rohlfshagen editors, Applications of Evolutionary Computing, EvoApplications 2013: EvoCOMNET, EvoCOMPLEX, EvoENERGY, EvoFIN, EvoGAMES, EvoIASP, EvoINDUSTRY, EvoNUM, EvoPAR, EvoRISK, EvoROBOT, EvoSTOC, volume 7835, pages 354-364, Vienna, 2013. Springer Verlag. details

  98. Wenlong Fu and Mark Johnston and Mengjie Zhang. Genetic programming for edge detection using multivariate density. In Christian Blum and Enrique Alba and Anne Auger and Jaume Bacardit and Josh Bongard and Juergen Branke and Nicolas Bredeche and Dimo Brockhoff and Francisco Chicano and Alan Dorin and Rene Doursat and Aniko Ekart and Tobias Friedrich and Mario Giacobini and Mark Harman and Hitoshi Iba and Christian Igel and Thomas Jansen and Tim Kovacs and Taras Kowaliw and Manuel Lopez-Ibanez and Jose A. Lozano and Gabriel Luque and John McCall and Alberto Moraglio and Alison Motsinger-Reif and Frank Neumann and Gabriela Ochoa and Gustavo Olague and Yew-Soon Ong and Michael E. Palmer and Gisele Lobo Pappa and Konstantinos E. Parsopoulos and Thomas Schmickl and Stephen L. Smith and Christine Solnon and Thomas Stuetzle and El-Ghazali Talbi and Daniel Tauritz and Leonardo Vanneschi editors, GECCO '13: Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference, pages 917-924, Amsterdam, The Netherlands, 2013. ACM. details

  99. Wenlong Fu and Mark Johnston and Mengjie Zhang. Triangular-Distribution-Based Feature Construction Using Genetic Programming for Edge Detection. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 1732-1739, Cancun, Mexico, 2013. details

  100. Urvesh Bhowan and Mark Johnston and Mengjie Zhang. Comparing ensemble learning approaches in genetic programming for classification with unbalanced data. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 135-136, Amsterdam, The Netherlands, 2013. ACM. details

  101. Harith Al-Sahaf and Mengjie Zhang and Mark Johnston. Binary image classification using genetic programming based on local binary patterns. In 28th International Conference of Image and Vision Computing New Zealand (IVCNZ 2013), pages 220-225, Wellington, 2013. IEEE Press. details

  102. Harith Al-Sahaf and Andy Song and Mengjie Zhang. Hybridisation of Genetic Programming and Nearest Neighbour for Classification. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 2650-2657, Cancun, Mexico, 2013. details

  103. Harith Al-Sahaf and Mengjie Zhang and Mark Johnston. A One-Shot Learning Approach to Image Classification Using Genetic Programming. In Stephen Cranefield and Abhaya Nayak editors, Proceedings of the 26th Australasian Joint Conference on Artificial Intelligence (AI2013), volume 8272, pages 110-122, Dunedin, New Zealand, 2013. Springer. details

  104. Soha Ahmed and Mengjie Zhang and Lifeng Peng. Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach. In Leonardo Vanneschi and William S. Bush and Mario Giacobini editors, 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, volume 7833, pages 43-55, Vienna, Austria, 2013. Springer Verlag. details

  105. Soha Ahmed and Mengjie Zhang and Lifeng Peng. Enhanced Feature Selection for Biomarker Discovery in LC-MS Data using GP. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 584-591, Cancun, Mexico, 2013. details

  106. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming. In Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta editors, Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012, volume 7244, pages 121-133, Malaga, Spain, 2012. Springer Verlag. details

  107. Kourosh Neshatian and Mengjie Zhang. Improving Relevance Measures Using Genetic Programming. In Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta editors, Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012, volume 7244, pages 97-108, Malaga, Spain, 2012. Springer Verlag. details

  108. Samuel Hindmarsh and Peter Andreae and Mengjie Zhang. Genetic programming for improving image descriptors generated using the scale-invariant feature transform. In Brendan McCane and Steven Mills and Jeremiah D. Deng editors, Image and Vision Computing New Zealand, IVCNZ, 2012, pages 85-90, Dunedin, New Zealand, 2012. ACM. details

  109. Su Nguyen and Mengjie Zhang and Mark Johnston and Kay Chen Tan. Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming. In Lam Thu Bui and Yew-Soon Ong and Nguyen Xuan Hoai and Hisao Ishibuchi and Ponnuthurai Nagaratnam Suganthan editors, The Ninth International Conference on Simulated Evolution And Learning, SEAL 2012, volume 7673, pages 341-350, Vietnam, 2012. Springer. details

  110. Su Nguyen and Mengjie Zhang and Mark Johnston and Tan Kay Chen. A Coevolution Genetic Programming Method to Evolve Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling Problems. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 3332-3339, Brisbane, Australia, 2012. details

  111. Rachel Hunt and Kourosh Neshatian and Mengjie Zhang. A Genetic Programming Approach to Hyper-Heuristic Feature Selection. In Lam Thu Bui and Yew-Soon Ong and Nguyen Xuan Hoai and Hisao Ishibuchi and Ponnuthurai Nagaratnam Suganthan editors, The Ninth International Conference on Simulated Evolution And Learning, SEAL 2012, volume 7673, pages 320-330, Vietnam, 2012. Springer. details

  112. Rachel Hunt and Kourosh Neshatian and Mengjie Zhang. Scalability Analysis of Genetic Programming Classifiers. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 509-516, Brisbane, Australia, 2012. details

  113. Wenlong Fu and Mark Johnston and Mengjie Zhang. Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection. In Lam Thu Bui and Yew-Soon Ong and Nguyen Xuan Hoai and Hisao Ishibuchi and Ponnuthurai Nagaratnam Suganthan editors, The Ninth International Conference on Simulated Evolution And Learning, SEAL 2012, volume 7673, pages 22-31, Vietnam, 2012. Springer. details

  114. Wenlong Fu and Mark Johnston and Mengjie Zhang. Genetic programming for edge detection based on figure of merit. In Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Will Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and Martin Pelikan and Silja Meyer-Nienberg and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb editors, GECCO Companion '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion, pages 1483-1484, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  115. Wenlong Fu and Mark Johnston and Mengjie Zhang. Genetic programming for edge detection using blocks to extract features. In Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Will Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and Martin Pelikan and Silja Meyer-Nienberg and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb editors, GECCO '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference, pages 855-862, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  116. Wenlong Fu and Mark Johnston and Mengjie Zhang. Genetic Programming for Edge Detection via Balancing Individual Training Images. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 2702-2709, Brisbane, Australia, 2012. details

  117. Wenlong Fu and Mark Johnston and Mengjie Zhang. Soft Edge Maps From Edge Detectors Evolved by Genetic Programming. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 1356-1363, Brisbane, Australia, 2012. details

  118. Aaron Scoble and Mark Johnston and Mengjie Zhang. Local Search in Parallel Linear Genetic Programming for Multiclass Classification. In Michael Thielscher and Dongmo Zhang editors, 25th Joint Conference Australasian Conference on Artificial Intelligence, AI 2012, volume 7691, pages 373-384, Sydney, Australia, 2012. Springer. details

  119. Wenlong Fu and Mark Johnston and Mengjie Zhang. Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection. In Michael Thielscher and Dongmo Zhang editors, 25th Joint Conference Australasian Conference on Artificial Intelligence, AI 2012, volume 7691, pages 144-155, Sydney, Australia, 2012. Springer. details

  120. Soha Ahmed and Mengjie Zhang and Lifeng Peng. Genetic Programming for Biomarker Detection in Mass Spectrometry Data. In Michael Thielscher and Dongmo Zhang editors, 25th Joint Conference Australasian Conference on Artificial Intelligence, AI 2012, volume 7691, pages 266-278, Sydney, Australia, 2012. Springer. details

  121. Harith Al-Sahaf and Andy Song and Kourosh Neshatian and Mengjie Zhang. Extracting Image Features for Classification By Two-Tier Genetic Programming. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 1630-1637, Brisbane, Australia, 2012. details

  122. Fahmi Abdulhamid and Andy Song and Kourosh Neshatian and Mengjie Zhang. Evolving Genetic Programming Classifiers with Loop Structures. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 2710-2717, Brisbane, Australia, 2012. details

  123. Carlton Downey and Mengjie Zhang. Parallel Linear Genetic Programming. In Sara Silva and James A. Foster and Miguel Nicolau and Mario Giacobini and Penousal Machado editors, Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, volume 6621, pages 178-189, Turin, Italy, 2011. Springer Verlag. details

  124. Aaron Scoble and Mark Johnston and Mengjie Zhang. Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming. In Dianhui Wang and Mark Reynolds editors, Proceedings of the 24th Australasian Joint Conference Advances in Artificial Intelligence (AI 2011), volume 7106, pages 341-350, Perth, Australia, 2011. Springer. details

  125. Rachel Hunt and Mark Johnston and Mengjie Zhang. Improving Robustness of Multiple-Objective Genetic Programming for Object Detection. In Dianhui Wang and Mark Reynolds editors, Proceedings of the 24th Australasian Joint Conference Advances in Artificial Intelligence (AI 2011), volume 7106, pages 311-320, Perth, Australia, 2011. Springer. details

  126. Wenlong Fu and Mark Johnston and Mengjie Zhang. Genetic Programming for Edge Detection Based on Accuracy of Each Training Image. In Dianhui Wang and Mark Reynolds editors, Proceedings of the 24th Australasian Joint Conference Advances in Artificial Intelligence (AI 2011), volume 7106, pages 301-310, Perth, Australia, 2011. Springer. details

  127. Urvesh Bhowan and Mark Johnston and Mengjie Zhang. Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data. In Dianhui Wang and Mark Reynolds editors, Proceedings of the 24th Australasian Joint Conference Advances in Artificial Intelligence (AI 2011), volume 7106, pages 192-202, Perth, Australia, 2011. Springer. details

  128. Muhammad Iqbal and Mengjie Zhang and Will Browne. Automatically defined functions for learning classifier systems. In Daniele Loiacono and Albert Orriols-Puig and Ryan Urbanowicz editors, Fourteenth international workshop on learning classifier systems, pages 375-382, Dublin, Ireland, 2011. ACM. details

  129. Wenlong Fu and Mark Johnston and Mengjie Zhang. Genetic Programming For Edge Detection: A Global Approach. In Alice E. Smith editor, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, pages 254-261, New Orleans, USA, 2011. IEEE Press. details

  130. Anna Friedlander and Kourosh Neshatian and Mengjie Zhang. Meta-Learning and Feature Ranking Using Genetic Programming for Classification: Variable Terminal Weighting. In Alice E. Smith editor, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, pages 940-947, New Orleans, USA, 2011. IEEE Press. details

  131. Carlton Downey and Mengjie Zhang. Caching for parallel linear genetic programming. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, pages 201-202, Dublin, Ireland, 2011. ACM. details

  132. Carlton Downey and Mengjie Zhang. Execution Trace Caching for Linear Genetic Programming. In Alice E. Smith editor, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, pages 1191-1198, New Orleans, USA, 2011. IEEE Press. details

  133. Urvesh Bhowan and Mark Johnston and Mengjie Zhang. Evolving ensembles in multi-objective genetic programming for classification with unbalanced data. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pages 1331-1338, Dublin, Ireland, 2011. ACM. details

  134. Daniel Atkins and Kourosh Neshatian and Mengjie Zhang. A Domain Independent Genetic Programming Approach to Automatic Feature Extraction for Image Classification. In Alice E. Smith editor, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, pages 238-245, New Orleans, USA, 2011. IEEE Press. details

  135. Harith Al-Sahaf and Kourosh Neshatian and Mengjie Zhang. Automatic feature extraction and image classification using genetic programming. In 5th International Conference on Automation, Robotics and Applications (ICARA 2011), pages 157-162, Wellington, New Zealand, 2011. details

  136. Fahmi Abdulhamid and Kourosh Neshatian and Mengjie Zhang. Genetic programming for evolving programs with loop structures for classification tasks. In 5th International Conference on Automation, Robotics and Applications (ICARA 2011), pages 202-207, Wellington, New Zealand, 2011. details

  137. Urvesh Bhowan and Mengjie Zhang and Mark Johnston. A Comparison of Classification Strategies in Genetic Programming with Unbalanced Data. In Jiuyong Li editor, Australasian Conference on Artificial Intelligence, volume 6464, pages 243-252, Adelaide, 2010. Springer. details

  138. Andy Song and Dunhai Chen and Mengjie Zhang. Contribution based bloat control in Genetic Programming. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  139. Thomas Liddle and Mark Johnston and Mengjie Zhang. Multi-Objective Genetic Programming for object detection. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  140. Jan Larres and Mengjie Zhang and Will N Browne. Using unrestricted loops in genetic programming for image classification. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  141. David Kinzett and Mengjie Zhang and Mark Johnston. Investigation of simplification threshold and noise level of input data in numerical simplification of genetic programs. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  142. David Kinzett and Mengjie Zhang and Mark Johnston. Analysis of Building Blocks with Numerical Simplification in Genetic Programming. In Anna Isabel Esparcia-Alcazar and Aniko Ekart and Sara Silva and Stephen Dignum and A. Sima Uyar editors, Proceedings of the 13th European Conference on Genetic Programming, EuroGP 2010, volume 6021, pages 289-300, Istanbul, 2010. Springer. details

  143. Mark Johnston and Thomas Liddle and Mengjie Zhang. A Relaxed Approach to Simplification in Genetic Programming. In Anna Isabel Esparcia-Alcazar and Aniko Ekart and Sara Silva and Stephen Dignum and A. Sima Uyar editors, Proceedings of the 13th European Conference on Genetic Programming, EuroGP 2010, volume 6021, pages 110-121, Istanbul, 2010. Springer. details

  144. Rachel Hunt and Mark Johnston and Will N. Browne and Mengjie Zhang. Sampling Methods in Genetic Programming for Classification with Unbalanced Data. In Jiuyong Li editor, Australasian Conference on Artificial Intelligence, volume 6464, pages 273-282, 2010. Springer. details

  145. Carlton Downey and Mengjie Zhang and Will N. Browne. New crossover operators in linear genetic programming for multiclass object classification. In Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano van Hemert and Leonardo Vanneschi and Carsten Witt editors, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 885-892, Portland, Oregon, USA, 2010. ACM. details

  146. Urvesh Bhowan and Mengjie Zhang and Mark Johnston. AUC analysis of the pareto-front using multi-objective GP for classification with unbalanced data. In Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano van Hemert and Leonardo Vanneschi and Carsten Witt editors, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 845-852, Portland, Oregon, USA, 2010. ACM. details

  147. Urvesh Bhowan and Mengjie Zhang and Mark Johnston. Genetic Programming for Classification with Unbalanced Data. In Anna Isabel Esparcia-Alcazar and Aniko Ekart and Sara Silva and Stephen Dignum and A. Sima Uyar editors, Proceedings of the 13th European Conference on Genetic Programming, EuroGP 2010, volume 6021, pages 1-13, Istanbul, 2010. Springer. details

  148. Daniel L Atkins and Roman Klapaukh and Will N Browne and Mengjie Zhang. Evolution of aesthetically pleasing images without human-in-the-loop. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  149. Kourosh Neshatian and Mengjie Zhang. Genetic Programming for Feature Subset Ranking in Binary Classification Problems. In Leonardo Vanneschi and Steven Gustafson and Alberto Moraglio and Ivanoe De Falco and Marc Ebner editors, Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009, volume 5481, pages 121-132, Tuebingen, 2009. Springer. details

  150. Kourosh Neshatian and Mengjie Zhang. Dimensionality reduction in face detection: A genetic programming approach. In Proceeding of the 24th International Conference Image and Vision Computing New Zealand, IVCNZ '09, pages 391-396, Wellington, 2009. IEEE. details

  151. Carlton Downey and Mengjie Zhang. Multiclass object classification for computer vision using Linear Genetic Programming. In Proceeding of the 24th International Conference Image and Vision Computing New Zealand, IVCNZ '09, pages 73-78, Wellington, 2009. IEEE. details

  152. Andy Song and Dunhai Chen and Mengjie Zhang. Bloat control in genetic programming by evaluating contribution of nodes. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 1893-1894, Montreal, 2009. ACM. details

  153. Kourosh Neshatian and Mengjie Zhang. Pareto front feature selection: using genetic programming to explore feature space. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 1027-1034, Montreal, 2009. ACM. details

  154. David Kinzett and Mark Johnston and Mengjie Zhang. How online simplification affects building blocks in genetic programming. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 979-986, Montreal, 2009. ACM. details

  155. Huayang Xie and Mengjie Zhang. Balancing Parent and Offspring Selection in Genetic Programming. In Ann E. Nicholson and Xiaodong Li editors, Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI'09), volume 5866, pages 454-464, Melbourne, Australia, 2009. Springer. details

  156. Kourosh Neshatian and Mengjie Zhang. Unsupervised Elimination of Redundant Features Using Genetic Programming. In Ann E. Nicholson and Xiaodong Li editors, Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI'09), volume 5866, pages 432-442, Melbourne, Australia, 2009. Springer. details

  157. Urvesh Bhowan and Mengjie Zhang and Mark Johnston. Multi-Objective Genetic Programming for Classification with Unbalanced Data. In Ann E. Nicholson and Xiaodong Li editors, Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI'09), volume 5866, pages 370-380, Melbourne, Australia, 2009. Springer. details

  158. Huayang Xie and Mengjie Zhang. An Analysis and Evaluation of the Saving Capability and Feasibility of Backward-Chaining Evolutionary Algorithms. In Kevin B. Korb and Marcus Randall and Tim Hendtlass editors, Proceedings of the 4th Australian Conference on Artificial Life (ACAL'09), volume 5865, pages 63-72, Melbourne, Australia, 2009. Springer. details

  159. Urvesh Bhowan and Mark Johnston and Mengjie Zhang. Differentiating Between Individual Class Performance in Genetic Programming Fitness for Classification with Unbalanced Data. In Andy Tyrrell editor, 2009 IEEE Congress on Evolutionary Computation, pages 2802-2809, Trondheim, Norway, 2009. IEEE Press. details

  160. Urvesh Bhowan and Mengjie Zhang and Mark Johnston. Genetic Programming for Image Classification with Unbalanced Data. In Proceeding of the 24th International Conference Image and Vision Computing New Zealand, IVCNZ '09, pages 316-321, Wellington, 2009. IEEE. details

  161. Barret Chin and Mengjie Zhang. Object Detection Using Neural Networks and Genetic Programming. In Mario Giacobini and Anthony Brabazon and Stefano Cagnoni and Gianni Di Caro and Rolf Drechsler and Anik\'o Ek\'art and Anna Esparcia-Alc\'azar and Muddassar Farooq and Andreas Fink and Jon McCormack and Michael O'Neill and Juan Romero and Franz Rothlauf and Giovanni Squillero and Sima Uyar and Shengxiang Yang editors, Proceedings of EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Applications of Evolutionary Computing, EvoWorkshops, volume 4974, pages 335-340, Naples, 2008. Springer. details

  162. Kourosh Neshatian and Mengjie Zhang. Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems. In Michael O'Neill and Leonardo Vanneschi and Steven Gustafson and Anna Isabel Esparcia Alcazar and Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino editors, Proceedings of the 11th European Conference on Genetic Programming, EuroGP 2008, volume 4971, pages 242-253, Naples, 2008. Springer. details

  163. Huayang Xie and Mengjie Zhang and Peter Andreae and Mark Johnson. An analysis of multi-sampled issue and no-replacement tournament selection. In Maarten Keijzer and Giuliano Antoniol and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Nikolaus Hansen and John H. Holmes and Gregory S. Hornby and Daniel Howard and James Kennedy and Sanjeev Kumar and Fernando G. Lobo and Julian Francis Miller and Jason Moore and Frank Neumann and Martin Pelikan and Jordan Pollack and Kumara Sastry and Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and Ingo Wegener editors, GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1323-1330, Atlanta, GA, USA, 2008. ACM. details

  164. Huayang Xie and Mengjie Zhang and Peter Andreae. An Analysis of the Distribution of Swapped Subtree Sizes in Tree-based Genetic Programming. In Jun Wang editor, 2008 IEEE World Congress on Computational Intelligence, pages 2859-2866, Hong Kong, 2008. IEEE Press. details

  165. Huayang Xie and Mengjie Zhang and Peter Andreae and Mark Johnston. Is the Not-Sampled Issue in Tournament Selection Critical?. In Jun Wang editor, 2008 IEEE World Congress on Computational Intelligence, pages 3710-3717, Hong Kong, 2008. IEEE Press. details

  166. Phillip Wong and Mengjie Zhang. SCHEME: Caching Subtrees in Genetic Programming. In Jun Wang editor, 2008 IEEE World Congress on Computational Intelligence, pages 2678-2685, Hong Kong, 2008. IEEE Press. details

  167. Will Smart and Mengjie Zhang. Empirical Analysis of Schemata in Genetic Programming using Maximal Schemata and MSG. In Jun Wang editor, 2008 IEEE World Congress on Computational Intelligence, pages 2983-2990, Hong Kong, 2008. IEEE Press. details

  168. Kourosh Neshatian and Mengjie Zhang. Genetic Programming for Performance Improvement and Dimensionality Reduction of Classification Problems. In Jun Wang editor, 2008 IEEE World Congress on Computational Intelligence, pages 2811-2818, Hong Kong, 2008. IEEE Press. details

  169. H. Evans and Mengjie Zhang. Particle swarm optimisation for object classification. In 23rd International Conference Image and Vision Computing New Zealand, IVCNZ 2008, pages 1-6, 2008. details

  170. Kourosh Neshatian and Mengjie Zhang and Peter Andreae. Genetic Programming for Feature Ranking in Classification Problems. In Xiaodong Li and Michael Kirley and Mengjie Zhang and David G. Green and Victor Ciesielski and Hussein A. Abbass and Zbigniew Michalewicz and Tim Hendtlass and Kalyanmoy Deb and Kay Chen Tan and J\"urgen Branke and Yuhui Shi editors, Proceedings of the 7th International Conference on Simulated Evolution And Learning (SEAL '08), volume 5361, pages 544-554, Melbourne, Australia, 2008. Springer. details

  171. David Kinzett and Mengjie Zhang and Mark Johnston. Using Numerical Simplification to Control Bloat in Genetic Programming. In Xiaodong Li and Michael Kirley and Mengjie Zhang and David G. Green and Victor Ciesielski and Hussein A. Abbass and Zbigniew Michalewicz and Tim Hendtlass and Kalyanmoy Deb and Kay Chen Tan and J\"urgen Branke and Yuhui Shi editors, Proceedings of the 7th International Conference on Simulated Evolution And Learning (SEAL '08), volume 5361, pages 493-502, Melbourne, Australia, 2008. Springer. details

  172. Mengjie Zhang and Christopher Graeme Fogelberg. Genetic Programming for Image Recognition: An LGP Approach. In Mario Giacobini and Anthony Brabazon and Stefano Cagnoni and Gianni A. Di Caro and Rolf Drechsler and Muddassar Farooq and Andreas Fink and Evelyne Lutton and Penousal Machado and Stefan Minner and Michael O'Neill and Juan Romero and Franz Rothlauf and Giovanni Squillero and Hideyuki Takagi and A. Sima Uyar and Shengxiang Yang editors, Applications of Evolutionary Computing, EvoWorkshops2007: EvoCOMNET, EvoFIN, EvoIASP, EvoInteraction, EvoMUSART, EvoSTOC, EvoTransLog, volume 4448, pages 340-350, Valencia, Spain, 2007. Springer Verlag. details

  173. Will Smart and Peter Andreae and Mengjie Zhang. Empirical Analysis of GP Tree-Fragments. In Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar editors, Proceedings of the 10th European Conference on Genetic Programming, volume 4445, pages 55-67, Valencia, Spain, 2007. Springer. details

  174. Huayang Xie and Mengjie Zhang and Peter Andreae. An Analysis of Depth of Crossover Points in Tree-Based Genetic Programming. In Dipti Srinivasan and Lipo Wang editors, 2007 IEEE Congress on Evolutionary Computation, pages 4561-4568, Singapore, 2007. IEEE Press. details

  175. Huayang Xie and Mengjie Zhang and Peter Andreae. Genetic Programming for New Zealand CPI Inflation Prediction. In Dipti Srinivasan and Lipo Wang editors, 2007 IEEE Congress on Evolutionary Computation, pages 2538-2545, Singapore, 2007. IEEE Press. details

  176. Phillip Wong and Mengjie Zhang. Effects of Program Simplification on Simple Building Blocks in Genetic Programming. In Dipti Srinivasan and Lipo Wang editors, 2007 IEEE Congress on Evolutionary Computation, pages 1570-1577, Singapore, 2007. IEEE Press. details

  177. Krzysztof Krawiec and Daniel Howard and Mengjie Zhang. Overview of Object Detection and Image Analysis by Means of Genetic Programming Techniques. In Proceedings of the 2007 International Conference Frontiers in the Convergence of Bioscience and Information Technologies (FBIT 2007), pages 779-784, Jeju Island, Korea, 2007. IEEE Press. details

  178. Grant Patterson and Mengjie Zhang. Fitness Functions in Genetic Programming for Classification with Unbalanced Data. In Mehmet A. Orgun and John Thornton editors, Proceedings of the 20th Australian Joint Conference on Artificial Intelligence, pages 769-775, Gold Coast, Australia, 2007. Springer. details

  179. Kourosh Neshatian and Mengjie Zhang and Mark Johnston. Feature Construction and Dimension Reduction Using Genetic Programming. In Mehmet A. Orgun and John Thornton editors, Proceedings of the 20th Australian Joint Conference on Artificial Intelligence, volume 4830, pages 160-170, Gold Coast, Australia, 2007. Springer. details

  180. Phillip Lee-Ming Wong and Mengjie Zhang. Numerical-node building block analysis of genetic programming with simplification. In Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors, GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 2, pages 1761-1761, London, 2007. ACM Press. details

  181. Huayang Xie and Mengjie Zhang and Peter Andreae. An analysis of constructive crossover and selection pressure in genetic programming. In Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors, GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 2, pages 1739-1748, London, 2007. ACM Press. details

  182. Huayang Xie and Mengjie Zhang and Peter Andreae. Another investigation on tournament selection: modelling and visualisation. In Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors, GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 2, pages 1468-1475, London, 2007. ACM Press. details

  183. Mengjie Zhang and Malcolm Lett. Localisation Fitness in GP for Object Detection. In Franz Rothlauf and Jurgen Branke and Stefano Cagnoni and Ernesto Costa and Carlos Cotta and Rolf Drechsler and Evelyne Lutton and Penousal Machado and Jason H. Moore and Juan Romero and George D. Smith and Giovanni Squillero and Hideyuki Takagi editors, Applications of Evolutionary Computing, EvoWorkshops2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoInteraction, EvoMUSART, EvoSTOC, volume 3907, pages 472-483, Budapest, 2006. Springer Verlag. details

  184. Huayang Xie and Mengjie Zhang and Peter Andreae. Genetic Programming for Automatic Stress Detection in Spoken English. In Franz Rothlauf and Jurgen Branke and Stefano Cagnoni and Ernesto Costa and Carlos Cotta and Rolf Drechsler and Evelyne Lutton and Penousal Machado and Jason H. Moore and Juan Romero and George D. Smith and Giovanni Squillero and Hideyuki Takagi editors, Applications of Evolutionary Computing, EvoWorkshops2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoInteraction, EvoMUSART, EvoSTOC, volume 3907, pages 460-471, Budapest, 2006. Springer Verlag. details

  185. Huayang Xie and Mengjie Zhang and Peter Andreae. Population Clustering in Genetic Programming. In Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art editors, Proceedings of the 9th European Conference on Genetic Programming, volume 3905, pages 190-201, Budapest, Hungary, 2006. Springer. details

  186. Mengjie Zhang and Urvesh Bhowan and Bunna Ny. Genetic Programming for Object Detection. In John Morris and Patrice Delmas editors, Twenty-first International Conference Image and Vision Computing New Zealand, IVCNZ 2006, pages 425-430, Great Barrier Island, New Zealand, 2006. details

  187. Mengjie Zhang and Xiaoying Gao and Weijun Lou. Looseness Controlled Crossover in GP for Object Recognition. In Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas editors, Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 4428-4435, Vancouver, 2006. IEEE Press. details

  188. Huayang Xie and Mengjie Zhang and Peter Andreae. Automatic Selection Pressure Control in Genetic Programming. In Bo Yang and Yuehui Chen editors, 6th International Conference on Intelligent System Design and Applications, pages 435-440, Jinan Nanjiao Hotel, Jinan, China, 2006. IEEE. details

  189. Huayang Xie and Mengjie Zhang and Peter Andreae. A Study of Good Predecessor Programs for Reducing Fitness Evaluation Cost in Genetic Programming. In Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 9211-9218, Vancouver, 2006. IEEE Press. details

  190. Mengjie Zhang and Phillip Wong and Dongping Qian. Online Program Simplification in Genetic Programming. In Tzai-Der Wang and Xiaodong Li and Shu-Heng Chen and Xufa Wang and Hussein A. Abbass and Hitoshi Iba and Guoliang Chen and Xin Yao editors, Simulated Evolution and Learning, Proceedings 6th International Conference, SEAL 2006, volume 4247, pages 592-600, Hefei, China, 2006. Springer. details

  191. Mengjie Zhang and Malcolm Lett and Yuejin Ma. Refining Fitness Functions and Optimising Training Data in GP for Object Detection. In Tzai-Der Wang and Xiaodong Li and Shu-Heng Chen and Xufa Wang and Hussein A. Abbass and Hitoshi Iba and Guoliang Chen and Xin Yao editors, Simulated Evolution and Learning, Proceedings 6th International Conference, SEAL 2006, volume 4247, pages 601-608, Hefei, China, 2006. Springer. details

  192. Mengjie Zhang and Xiaoying Gao and Weijun Lou and Dongping Qian. Investigation of Brood Size in GP with Brood Recombination Crossover for Object Recognition. In Qiang Yang and Geoffrey I. Webb editors, PRICAI 2006: Trends in Artificial Intelligence, Proceedings 9th Pacific Rim International Conference on Artificial Intelligence, volume 4099, pages 923-928, Guilin, China, 2006. Springer. details

  193. Mengjie Zhang and Xiaoying Gao and Weijun Lou. GP for Object Classification: Brood Size in Brood Recombination Crossover. In Abdul Sattar and Byeong Ho Kang editors, Australian Conference on Artificial Intelligence, volume 4304, pages 274-284, Hobart, Australia, 2006. Springer. details

  194. Phillip Wong and Mengjie Zhang. Algebraic simplification of GP programs during evolution. In Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos Coello Coello and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens editors, GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, volume 1, pages 927-934, Seattle, Washington, USA, 2006. ACM Press. details

  195. Mengjie Zhang and Will Smart. Learning Weights in Genetic Programs Using Gradient Descent for Object Recognition. In Franz Rothlauf and Juergen Branke and Stefano Cagnoni and David W. Corne and Rolf Drechsler and Yaochu Jin and Penousal Machado and Elena Marchiori and Juan Romero and George D. Smith and Giovanni Squillero editors, Applications of Evolutionary Computing, EvoWorkshops2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, EvoSTOC, volume 3449, pages 417-427, Lausanne, Switzerland, 2005. Springer Verlag. details

  196. William Smart and Mengjie Zhang. Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems. In Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. van Hemert and Marco Tomassini editors, Proceedings of the 8th European Conference on Genetic Programming, volume 3447, pages 227-239, Lausanne, Switzerland, 2005. Springer. details

  197. Mengjie Zhang and Yun Zhang and Will Smart. Program Simplification in Genetic Programming for Object Classification. In Rajiv Khosla and Robert J. Howlett and Lakhmi C. Jain editors, Knowledge-Based Intelligent Information and Engineering Systems, 9th International Conference, KES 2005, Proceedings, Part III, volume 3683, pages 988-996, Melbourne, Australia, 2005. Springer. details

  198. Christopher Fogelberg and Mengjie Zhang. Linear Genetic Programming for Multi-class Object Classification. In Shichao Zhang and Ray Jarvis editors, AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence, Proceedings, volume 3809, pages 369-379, Sydney, Australia, 2005. Springer. details

  199. Guang Chen and Mengjie Zhang. Evolving While-Loop Structures in Genetic Programming for Factorial and Ant Problems. In Shichao Zhang and Ray Jarvis editors, AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence, Proceedings, volume 3809, pages 1079-1085, Sydney, Australia, 2005. Springer. details

  200. Mengjie Zhang and Will Smart. Multiclass Object Classification Using Genetic Programming. In Guenther R. Raidl and Stefano Cagnoni and Jurgen Branke and David W. Corne and Rolf Drechsler and Yaochu Jin and Colin R. Johnson and Penousal Machado and Elena Marchiori and Franz Rothlauf and George D. Smith and Giovanni Squillero editors, Applications of Evolutionary Computing, EvoWorkshops2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, EvoSTOC, volume 3005, pages 369-378, Coimbra, Portugal, 2004. Springer Verlag. details

  201. Mengjie Zhang and Will Smart. Genetic Programming with Gradient Descent Search for Multiclass Object Classification. In Maarten Keijzer and Una-May O'Reilly and Simon M. Lucas and Ernesto Costa and Terence Soule editors, Genetic Programming 7th European Conference, EuroGP 2004, Proceedings, volume 3003, pages 399-408, Coimbra, Portugal, 2004. Springer-Verlag. details

  202. Mengjie Zhang and Urvesh Bhowan. Program Size and Pixel Statistics in Genetic Programming for Object Detection. In Guenther R. Raidl and Stefano Cagnoni and Jurgen Branke and David W. Corne and Rolf Drechsler and Yaochu Jin and Colin R. Johnson and Penousal Machado and Elena Marchiori and Franz Rothlauf and George D. Smith and Giovanni Squillero editors, Applications of Evolutionary Computing, EvoWorkshops2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, EvoSTOC, volume 3005, pages 379-388, Coimbra, Portugal, 2004. Springer Verlag. details

  203. Will Smart and Mengjie Zhang. Probability Based Genetic Programming for Multiclass Object Classification. In Chengqi Zhang and Hans W. Guesgen and Wai-Kiang Yeap editors, PRICAI 2004: Trends in Artificial Intelligence, 8th Pacific Rim International Conference on Artificial Intelligence, volume 3157, pages 251-261, Auckland, New Zealand, 2004. Springer. details

  204. Mengjie Zhang and Peter Andreae and Urvesh Bhowan. A Two Phase Genetic Programming Approach to Object Detection. In Mircea Gh. Negoita and Robert J. Howlett and Lakhmi C. Jain editors, Proceedings of 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004. Part III, volume 3215, pages 224-231, Wellington, New Zealand, 2004. Springer. details

  205. Yun Zhang and Mengjie Zhang. A Multiple-Output Program Tree Structure in Genetic Programming. In R I Mckay and Sung-Bae Cho editors, Proceedings of The Second Asian-Pacific Workshop on Genetic Programming, page 12pp, Cairns, Australia, 2004. details

  206. Will Smart and Mengjie Zhang. Applying Online Gradient Descent Search to Genetic Programming for Object Recognition. In James Hogan and Paul Montague and Martin Purvis and Chris Steketee editors, CRPIT '04: Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation, volume 32 no. 7, pages 133-138, Dunedin, New Zealand, 2004. Australian Computer Society, Inc.. details

  207. Yun Zhang and Mengjie Zhang. A New Program Structure in Genetic Programming for Object Classification. In David Pairman and Heather North and Stephen McNeill editors, Proceeding of Image and Vision Computing NZ International Conference, pages 459-465, Akaroa, New Zealand, 2004. Lincoln, Landcare Research. details

  208. Will Smart and Mengjie Zhang. Tracking Object Positions in Real-time Video using Genetic Programming. In David Pairman and Heather North and Stephen McNeill editors, Proceeding of Image and Vision Computing International Conference, pages 113-118, Akaroa, New Zealand, 2004. Lincoln, Landcare Research. details

  209. Will Smart and Mengjie Zhang. Continuously Evolving Programs in Genetic Programming using Gradient Descent. In R I Mckay and Sung-Bae Cho editors, Proceedings of The Second Asian-Pacific Workshop on Genetic Programming, page 16pp, Cairns, Australia, 2004. details

  210. Malcolm Lett and Mengjie Zhang. New Fitness Functions in Genetic Programming for Object Detection. In David Pairman and Heather North and Stephen McNeill editors, Proceeding of Image and Vision Computing International Conference, pages 441-446, Akaroa, New Zealand, 2004. Lincoln, Landcare Research. details

  211. Mengjie Zhang and Peter Andreae and Mark Pritchard. Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection. In G\"unther R. Raidl and Stefano Cagnoni and Juan Jes\'us Romero Cardalda and David W. Corne and Jens Gottlieb and Agn\`es Guillot and Emma Hart and Colin G. Johnson and Elena Marchiori and Jean-Arcady Meyer and Martin Middendorf editors, Applications of Evolutionary Computing, EvoWorkshops2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, EvoSTIM, volume 2611, pages 455-466, University of Essex, UK, 2003. Springer-Verlag. details

  212. Will R. Smart and Mengjie Zhang. Classification Strategies for Image Classification in Genetic Programming. In Donald Bailey editor, Proceeding of Image and Vision Computing NZ International Conference, pages 402-407, Palmerston North, New Zealand, 2003. Massey University. details

  213. Mengjie Zhang and Victor Ciesielski. Genetic Programming for Multiple Class Object Detection. In Norman Foo editor, 12th Australian Joint Conference on Artificial Intelligence, volume 1747, pages 180-192, Sydney, Australia, 1999. Springer-Verlag. details

Genetic Programming book chapters by Mengjie Zhang

Genetic Programming technical reports by Mengjie Zhang

  1. Huayang Xie and Mengjie Zhang. Tuning Selection Pressure in Tournament Selection. Technical report, ECSTR-09-10, School of Engineering and Computer Science. Victoria University of Wellington, New Zealand, 2009. details

  2. Mark Johnston and Thomas Liddle and Mengjie Zhang. A Linear Regression Approach to Numerical Simplification in Tree-Based Genetic Programming. Research report , 09-7, School of Mathematics Statistics and Operations Research, Victoria University of Wellington, New Zealand, 2009. details

  3. Barret Chin and Mengjie Zhang. Object Detection using Neural Networks and Genetic Programming. Technical report , CS-TR-07-3, Computer Science, Victoria University of Wellington, New Zealand, 2007. details

  4. Huayang Xie and Mengjie Zhang and Peter Andreae. Not-Sampled Issue and Round-Replacement Tournament Selection. Technical report , CS-TR-07-2, Computer Science, Victoria University of Wellington, New Zealand, 2007. details

  5. Mengjie Zhang and Malcolm Lett. Improving Fitness Function and Optimising Training Data in GP for Object Detection. Technical report, CS-TR-06-8, Computer Science, Victoria University of Wellington, New Zealand, 2006. details

  6. Phillip Wong and Mengjie Zhang. Algebraic Simplification of Genetic Programs during Evolution. Technical report, CS-TR-06-7, Computer Science, Victoria University of Wellington, New Zealand, 2006. details

  7. Mengjie Zhang and Xiaoying Gao and Minh Duc Cao. Experiments on Brood Size in GP with Brood Recombination Crossover for Object Recognition. Technical report, CS-TR-06-6, Computer Science, Victoria University of Wellington, New Zealand, 2006. details

  8. Huayang Xie and Mengjie Zhang and Peter Andreae. Genetic Programming for Automatic Stress Detection in Spoken English. Technical report, CS-TR-06-4, Computer Science, Victoria University of Wellington, New Zealand, 2006. details

  9. Huayang Xie and Mengjie Zhang and Peter Andreae. A Study of Good Predecessor Programs for Reducing Fitness Evaluation Cost in Genetic Programming. Technical report, CS-TR-06-3, Computer Science, Victoria University of Wellington, New Zealand, 2006. details

  10. Mengjie Zhang and Xiaoying Gao and Weijun Lou. A New Crossover Operator in GP for Object Classification. Technical report, CS-TR-06-2, Computer Science, Victoria University of Wellington, New Zealand, 2006. details

  11. Phillip Wong and Mengjie Zhang. Numerical-node building block analysis of genetic programming with simplification. Technical report, CS-TR-06-15, Computer Science, Victoria University of Wellington, New Zealand, 2006. details

  12. Christopher Fogelberg and Mengjie Zhang. VUWLGP - An ANSI C++ Linear Genetic Programming Package. Technical report, CS-TR-05/8, MSCS, Victoria University of Wellington, New Zealand, 2005. details

  13. Mengjie Zhang and Will Smart. Using Gaussian Distribution to Construct Fitness Functions in Genetic Programming for Multiclass Object Classification. Technical report, CS-TR-05-5, Computer Science, Victoria University of Wellington, New Zealand, 2005. details

  14. Will Smart and Mengjie Zhang. Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems. Technical report, CS-TR-05-1, Computer Science, Victoria University of Wellington, New Zealand, 2005. details

  15. Will Smart and Mengjie Zhang. Probability Based Genetic Programming for Multiclass Object Classification. Technical report, CS-TR-04-7, Computer Science, Victoria University of Wellington, New Zealand, 2004. details

  16. Mengjie Zhang and Peter Andreae and Urvesh Bhowan. A Two Phase Genetic Programming Approach to Object Detection. Technical report, CS-TR-04-6, Computer Science, Victoria University of Wellington, New Zealand, 2004. details

  17. Mengjie Zhang and Urvesh Bhowan. Pixel Statistics and Program Size in Genetic Programming for Object Detection. Technical report, CS-TR-04-3, Computer Science, Victoria University of Wellington, New Zealand, 2004. details

  18. Mengjie Zhang and Will Smart. Multiclass Object Classification Using Genetic Programming. Technical report, CS-TR-04-2, Computer Science, Victoria University of Wellington, New Zealand, 2004. details

  19. Yun Zhang and Mengjie Zhang. A Multiple-Output Program Tree Structure in Genetic Programming. Technical report, CS-TR-04-14, Computer Science, Victoria University of Wellington, New Zealand, 2004. details

  20. Will Smart and Mengjie Zhang. Tracking Object Positions in Real-time Video using Genetic Programming. Technical report, CS-TR-04-13, Computer Science, Victoria University of Wellington, New Zealand, 2004. details

  21. Malcolm Lett and Mengjie Zhang. New Fitness Functions in Genetic Programming for Object Detection. Technical report, CS-TR-04-12, Computer Science, Victoria University of Wellington, New Zealand, 2004. details

  22. Will Smart and Mengjie Zhang. Evolving Weights in Genetic Programs Using Gradient Descent. Technical report, CS-TR-04-11, Computer Science, Victoria University of Wellington, New Zealand, 2004. details

  23. Will Smart and Mengjie Zhang. Continuously Evolving Programs in Genetic Programming Using Gradient Descent. Technical report, CS-TR-04-10, Computer Science, Victoria University of Wellington, New Zealand, 2004. details

  24. Will Smart and Mengjie Zhang. Applying Online Gradient Descent Search to Genetic Programming. Technical report, CS-TR-03-13, Computer Science, Victoria University of Wellington, New Zealand, 2003. details