Genetic Programming Bibliography entries for Mengjie Zhang

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GP coauthors/coeditors: Peter Andreae, Huayang Jason Xie, Daniel L Atkins, Roman Klapaukh, Will N Browne, Kourosh Neshatian, Urvesh Bhowan, Mark Johnston, Guang Chen, Barret Chin, Carlton Downey, Jing Liu, Hamish Evans, Christopher Fogelberg, Anna Friedlander, Wenlong Fu, Rachel Hunt, Muhammad Iqbal, Thomas Liddle, David Kinzett, Krzysztof Krawiec, Daniel Howard, Jan Larres, Malcolm Lett, Xiaoli Ma, Guifa Teng, Daniel McGaughran, Su Nguyen, Kay Chen Tan, Grant Patterson, Will Smart, Andy Song, Dunhai Chen, Phillip Wong, Mark Johnson, Victor Ciesielski, Mark Pritchard, Yun Zhang, William D Smart, Xiaoying (Sharon) Gao, Weijun (Norman) Lou, Minh Duc Cao, Bunna Ny, Dongping Qian, Yuejin Ma,

Genetic Programming Articles by Mengjie Zhang

  1. 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

  2. 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

  3. 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

  4. Mengjie Zhang and Phillip Wong. Explicitly Simplifying Evolved Genetic Programs During Evolution. International Journal of Computational Intelligence and Applications, 7(2):1-32, 2008. details

  5. 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

  6. 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

  7. 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. details

  8. 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

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

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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. Huayang Xie and Mengjie Zhang. Parent Selection Pressure Auto-tuning for Tournament Selection in Genetic Programming. IEEE Transactions on Evolutionary Computation. Accepted for future publication. details

  17. 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. Accepted for future publication. details

  18. Carlton Downey and Mengjie Zhang and Jing Liu. Parallel linear genetic programming for multi-class classification. Genetic Programming and Evolvable Machines. Online first. details

Genetic Programming PhD doctoral thesis Mengjie Zhang

Genetic Programming conference papers by Mengjie Zhang

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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, volume 4974, pages 335-340, Naples, 2008. Springer. details

  36. 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, volume 4971, pages 242-253, Naples, 2008. Springer. details

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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

  54. 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

  55. 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

  56. 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

  57. 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

  58. 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

  59. 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

  60. Mengjie Zhang. 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 435-440, Great Barrier Island, New Zealand, 2006. details

  61. 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

  62. 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

  63. 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

  64. 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

  65. 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

  66. 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

  67. 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

  68. 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

  69. 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

  70. 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

  71. Mengjie Zhang and Yun Zhang and William D. 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

  72. 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, Sydney, Australia, 2005. Springer. details

  73. 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

  74. 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

  75. 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

  76. 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

  77. 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

  78. 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

  79. 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

  80. 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

  81. 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

  82. 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

  83. 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

  84. 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

  85. 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

  86. 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

  87. 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