Genetic Programming Bibliography entries for Mark Johnston

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GP coauthors/coeditors: Harith Al-Sahaf, Mengjie Zhang, Brijesh Verma, Ausama Al-Sahaf, Bing Xue, Urvesh Bhowan, Xin Yao, Wenlong Fu, Rachel Hunt, Will N Browne, Thomas Liddle, David Kinzett, Richard J Marshall, Kourosh Neshatian, Su Nguyen, Kay Chen Tan, John Park, Aaron Scoble, Huayang Jason Xie, Peter Andreae,

Genetic Programming Articles by Mark Johnston

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

Genetic Programming conference papers by Mark Johnston

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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

  54. 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

  55. 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

  56. 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

  57. 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

  58. 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

  59. 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

  60. 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

Genetic Programming book chapters by Mark Johnston

Genetic Programming technical reports by Mark Johnston