Genetic Programming Papers

Refereed Journal Articles and Edited Journal Special Issues

  1. Huayang Xie, and Mengjie Zhang. "Parent Selection Pressure Auto-Tuning for Tournament Selection in Genetic Programming". IEEE Trans. Evolutionary Computation vol. 17, no. 1 (2013): 1-19. [ http | BibTex ]
  2. Mengjie Zhang, Mario Koeppen, and Sergio Damas. "Special Issue on Computational Intelligence in Computer Vision and Image Processing [Guest Editorial]". IEEE Computational Intelligence Magazine vol. 8, no. 1 (2013): 14-15. [ http | BibTex ]
  3. Bing Xue, Liam Cervante, Lin Shang, Will Browne, and Mengjie Zhang. "Multi-Objective Evolutionary Algorithms for Filter Based Feature Selection in Classification". International Journal on Artificial Intelligence Tools (2013). [ BibTex ]
  4. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming". Evolutionary Computation, IEEE Transactions on vol. PP, no. 99 (2013): 1-1. [ http | BibTex ]
  5. Urvesh Bhowan, Mark Johnston, Mengjie Zhang, and Xin Yao. "Evolving Diverse Ensembles Using Genetic Programming for Classification With Unbalanced Data". IEEE Trans. Evolutionary Computation vol. 17, no. 3 (2013): 368-386. [ http | BibTex ]
  6. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "Learning iterative dispatching rules for job shop scheduling with genetic programming". The International Journal of Advanced Manufacturing Technology vol. 67, no. 1-4 (2013): 85-100. [ http | BibTex ]
  7. Su Nguyen, Mark Johnston, Kay Chen Tan, and Mengjie Zhang. "Genetic Programming for Evolving Reusable Due-date Assignment Models in Job Shop Environments". Evolutionary Computation (2013). [ http | BibTex ]
  8. Urvesh Bhowan, 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 vol. 42, no. 2 (2012): 406-421. [ http | BibTex ]
  9. Kourosh Neshatian, Mengjie Zhang, and Peter Andreae. "A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming". IEEE Trans. Evolutionary Computation vol. 16, no. 5 (2012): 645-661. [ http | BibTex ]
  10. Rohitash Chandra, Marcus R. Frean, and Mengjie Zhang. "Adapting modularity during learning in cooperative co-evolutionary recurrent neural networks". Soft Computing vol. 16, no. 6 (2012): 1009-1020. [ http | BibTex ]
  11. Rohitash Chandra, Marcus R. Frean, and Mengjie Zhang. "Crossover-based local search in cooperative co-evolutionary feedforward neural networks". Applications in Soft Computing vol. 12, no. 9 (2012): 2924-2932. [ http | BibTex ]
  12. Andy Song, and Mengjie Zhang. "Genetic programming for detecting target motions". Connection Science vol. 24, no. 2-3 (2012): 117-141. [ http | BibTex ]
  13. Harith Al-Sahaf, Andy Song, Kourosh Neshatian, and Mengjie Zhang. "Two-Tier genetic programming: towards raw pixel-based image classification". Expert Systems with Applications vol. 39, no. 16 (2012): 12291-12301. [ http | BibTex ]
  14. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem". Evolutionary Computation, IEEE Transactions on vol. PP, no. 99 (2012): 1-1. [ http | BibTex ]
  15. Harith Al-Sahaf, Andy Song, Kourosh Neshatian, and Mengjie Zhang. "Two-Tier genetic programming: towards raw pixel-based image classification". Expert Syst. Appl. vol. 39, no. 16 (2012): 12291-12301. [ http | BibTex ]
  16. Huayang Xie, and Mengjie Zhang. "Impacts of sampling strategies in tournament selection for genetic programming". Soft Computing vol. 16, no. 4 (2012): 615-633. [ http | BibTex ]
  17. Rohitash Chandra, Marcus R. Frean, and Mengjie Zhang. "On the issue of separability for problem decomposition in cooperative neuro-evolution". Neurocomputing vol. 87 (2012): 33-40. [ http | BibTex ]
  18. Carlton Downey, Mengjie Zhang, and Jing Liu. "Parallel linear genetic programming for multi-class classification". Genetic Programming and Evolvable Machines vol. 13, no. 3 (2012): 275-304. [ http | BibTex ]
  19. Rohitash Chandra, and Mengjie Zhang. "Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction". Neurocomputing vol. 86 (2012): 116-123. [ http | BibTex ]
  20. Kourosh Neshatian, and Mengjie Zhang. "Using genetic programming for context-sensitive feature scoring in classification problems". Connection Science vol. 23, no. 3 (2011): 183-207. [ http | BibTex ]
  21. Huayang Xie, and Mengjie Zhang. "Depth-control strategies for crossover in tree-based genetic programming". Soft Computing vol. 15, no. 9 (2011): 1865-1878. [ http | BibTex ]
  22. Mengjie Zhang, Michael Kirley, and Xiaodong Li. "Guest Editorial: special issue on evolutionary optimisation and learning". Soft Computing vol. 15, no. 9 (2011): 1671-1673. [ http | BibTex ]
  23. Rohitash Chandra, Marcus R. Frean, Mengjie Zhang, and Christian W. Omlin. "Encoding subcomponents in cooperative co-evolutionary recurrent neural networks". Neurocomputing vol. 74, no. 17 (2011): 3223-3234. [ http | BibTex ]
  24. Daniel McGaughran, and Mengjie Zhang. "Evolving More Representative Programs with Genetic Programming". International Journal of Software Engineering and Knowledge Engineering vol. 19, no. 1 (2009): 1-22. [ http | BibTex ]
  25. David Kinzett, Mark Johnston, and Mengjie Zhang. "Numerical simplification for bloat control and analysis of building blocks in genetic programming". Evolutionary Intelligence vol. 2, no. 4 (2009): 151-168. [ http | BibTex ]
  26. Michael Kirley, Mengjie Zhang, and Xiaodong Li. "Special issue on simulated evolution and learning". Evolutionary Intelligence vol. 2, no. 4 (2009): 149-150. [ http | BibTex ]
  27. Mengjie Zhang, and Phillip Wong. "Genetic programming for medical classification: a program simplification approach". Genetic Programming and Evolvable Machines vol. 9, no. 3 (2008): 229-255. [ http | BibTex ]
  28. Peter Andreae, Huayang Xie, and Mengjie Zhang. "Genetic Programming for detecting rhythmic stress in spoken English". KES Journal vol. 12, no. 1 (2008): 15-28. [ http | BibTex ]
  29. Mengjie Zhang, and Phillip Wong. "Explicitly Simplifying Evolved Genetic Programs during Evolution". International Journal of Computational Intelligence and Applications vol. 7, no. 2 (2008): 201-232. [ http | BibTex ]
  30. Mengjie Zhang, 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 vol. 6, no. 1 (2007): 27-43. [ BibTex ]
  31. Mengjie Zhang, Christopher Fogelberg, and Yuejin Ma. "A linear structured approach and a refined fitness function in genetic programming for multi-class object classification". Connection Science vol. 19, no. 4 (2007): 339-359. [ http | BibTex ]
  32. Zhang, Mengjie. "Improving Object Detection Performance with Genetic Programming". International Journal on Artificial Intelligence Tools vol. 16, no. 5 (2007): 849-873. [ http | BibTex ]
  33. Mengjie Zhang, Xiaoying Gao, and Weijun Lou. "A New Crossover Operator in Genetic Programming for Object Classification". IEEE Transactions on Systems, Man, and Cybernetics, Part B vol. 37, no. 5 (2007): 1332-1343. [ http | BibTex ]
  34. Mengjie Zhang, and William D. Smart. "Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification". Pattern Recognition Letters vol. 27, no. 11 (2006): 1266-1274. [ http | BibTex ]
  35. Mengjie Zhang, and Malcolm Lett. "Genetic Programming for Object Detection: Improving Fitness Functions and Optimising Training Data". IEEE Intelligent Informatics Bulletin vol. 7, no. 1 (2006): 12-21. [ .pdf | BibTex ]
  36. Mengjie Zhang, and Victor Ciesielski. "Neural Networks And Genetic Algorithms For Domain Independent Multiclass Object Detection". International Journal of Computational Intelligence and Applications vol. 4, no. 1 (2004): 77-108. [ http | BibTex ]
  37. Mengjie Zhang, Victor Ciesielski, and Peter Andreae. "A Domain-Independent Window Approach to Multiclass Object Detection Using Genetic Programming". EURASIP Journal on Applied Signal Processing vol. 2003, no. 8 (2003): 841-859. [ http | BibTex ]

Refereed Book Chapters, and Papers in Conference Proceedings

  1. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "Learning Reusable Initial Populations for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming". In Proceedings of the 16th European Conference on Genetic Programming vol. 7831. . 2013. [ BibTex ]
  2. Anqi Wang, Hui Ma, and Mengjie Zhang. "Genetic Programming with Greedy Search for Web Service Composition". In 24th International Conference on Database and Expert, DEXA 2013. . University of Economics, 2013. [ http | BibTex ]
  3. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "Dynamic Multi-objective Job Shop Scheduling: A Genetic Programming Approach". In Automated Scheduling and Planning. pp 251-282. Springer, 2013. [ http | BibTex ]
  4. Anna I Esparcia-Alcazar, Mengjie Zhang, and others.
  5. Urvesh Bhowan, Mark Johnston, and Mengjie Zhang. "Comparing ensemble learning approaches in genetic programming for classification with unbalanced data". In Proceedings of Genetic and Evolutionary Computation Conference (Companion). Amsterdam, The Netherlands, pp 135-136. 2013. [ http | BibTex ]
  6. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Automatic Construction of Gaussian-Based Edge Detectors Using Genetic Programming". In Proceedings of the 16th European Conference on Applications of Evolutionary Computation (EvoApplications 2013). pp 365-375. 2013. [ http | BibTex ]
  7. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Genetic programming for edge detection using multivariate density". In Proceedings of Genetic and Evolutionary Computation Conference. Amsterdam, The Netherlands, pp 917-924. 2013. [ http | BibTex ]
  8. Syahaneim Marzukhi, Will Browne, and Mengjie Zhang. "Adaptive artificial datasets to discover the effects of domain features for classification tasks". In Proceedings of Genetic and Evolutionary Computation Conference (Companion). Amsterdam, The Netherlands, pp 157-158. 2013. [ http | BibTex ]
  9. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming". In Proceedings of the 16th European Conference on Genetic Programming. pp 157-168. 2013. [ http | BibTex ]
  10. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Genetic Programming for Automatic Construction of Variant Features in Edge Detection". In Proceedings of the 16th European Conference on Applications of Evolutionary Computation (EvoApplications 2013). pp 354-364. 2013. [ http | BibTex ]
  11. Soha Ahmed, Mengjie Zhang, and Lifeng Peng. "Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach". In EvoBIO. pp 43-55. 2013. [ http | BibTex ]
  12. John Park, Su Nguyen, Mengjie Zhang, and Mark Johnston. "Genetic programming for order acceptance and scheduling". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 1005-1012. IEEE, 2013. [ http | BibTex ]
  13. Harith Al-Sahaf, Andy Song, and Mengjie Zhang. "Hybridisation of Genetic Programming and Nearest Neighbour for classification". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 2650-2657. IEEE, 2013. [ http | BibTex ]
  14. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Triangular-distribution-based feature construction using Genetic Programming for edge detection". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 1732-1739. IEEE Press, 2013. [ http | BibTex ]
  15. Roman Klapaukh, Will Browne, and Mengjie Zhang. "The effect of primitive sets on the expression of evolved images". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 725-732. IEEE Press, 2013. [ http | BibTex ]
  16. Yang Yu, Hui Ma, and Mengjie Zhang. "An adaptive genetic programming approach to QoS-aware web services composition". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 1740-1747. IEEE, 2013. [ http | BibTex ]
  17. Syed S Naqvi, Will Browne, and Christopher Hollitt. "Optimizing visual attention models for predicting human fixations using Genetic Algorithms". In Evolutionary Computation (CEC), 2013 IEEE Congress on. pp 1302-1309. IEEE, 2013. [ http | BibTex ]
  18. Aaron Scoble, Will Browne, Bill Stephenson, Zane Bruce, and Mengjie Zhang. "Evolutionary spatial auto-correlation for assessing earthquake liquefaction potential using Parallel Linear Genetic Programming". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 2940-2947. IEEE Press, 2013. [ http | BibTex ]
  19. Soha Ahmed, Mengjie Zhang, and Lifeng Peng. "Enhanced feature selection for biomarker discovery in LC-MS data using GP". In Evolutionary Computation (CEC), 2013 IEEE Congress on. Cancun, Mexico, pp 584-591. IEEE, 2013. [ http | BibTex ]
  20. Fahmi Abdulhamid, Andy Song, Kourosh Neshatian, and Mengjie Zhang. "Evolving Genetic Programming classifiers with loop structures". In IEEE Congress on Evolutionary Computation. pp 2581-2588. IEEE Press, 2012. [ http | BibTex ]
  21. Harith Al-Sahaf, Andy Song, Kourosh Neshatian, and Mengjie Zhang. "Extracting image features for classification by two-tier genetic programming". In IEEE Congress on Evolutionary Computation. pp 567-574. IEEE Press, 2012. [ http | BibTex ]
  22. Rachel Hunt, Kourosh Neshatian, and Mengjie Zhang. "A Genetic Programming Approach to Hyper-Heuristic Feature Selection". In Proceedings of the 2012 International Conference on Simulated Evolution And Learning. pp 320-330. 2012. [ http | BibTex ]
  23. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming". In Proceedings of the 2012 International Conference on Simulated Evolution And Learning. pp 341-350. 2012. [ http | BibTex ]
  24. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection". In Australasian Conference on Artificial Intelligence. pp 144-155. 2012. [ http | BibTex ]
  25. Soha Ahmed, Mengjie Zhang, and Lifeng Peng. "Genetic Programming for Biomarker Detection in Mass Spectrometry Data". In Australasian Conference on Artificial Intelligence. pp 266-278. 2012. [ http | BibTex ]
  26. Aaron Scoble, Mark Johnston, and Mengjie Zhang. "Local Search in Parallel Linear Genetic Programming for Multiclass Classification". In Australasian Conference on Artificial Intelligence. pp 373-384. 2012. [ http | BibTex ]
  27. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Genetic programming for edge detection based on figure of merit". In Proceedings of Genetic and Evolutionary Computation Conference (Companion). Philadelphia, USA, pp 1483-1484. ACM Press, 2012. [ http | BibTex ]
  28. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems". In IEEE Congress on Evolutionary Computation. pp 3261-3268. IEEE Press, 2012. [ http | BibTex ]
  29. Rachel Hunt, Kourosh Neshatian, and Mengjie Zhang. "Scalability analysis of genetic programming classifiers". In IEEE Congress on Evolutionary Computation. pp 1416-1422. IEEE Press, 2012. [ http | BibTex ]
  30. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Soft edge maps from edge detectors evolved by genetic programming". In IEEE Congress on Evolutionary Computation. pp 24-31. IEEE Press, 2012. [ http | BibTex ]
  31. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Genetic programming for edge detection via balancing individual training images". In IEEE Congress on Evolutionary Computation. pp 2597-2604. IEEE Press, 2012. [ http | BibTex ]
  32. Samuel Hindmarsh, Peter Andreae, and Mengjie Zhang. "Genetic programming for improving image descriptors generated using the scale-invariant feature transform". In IVCNZ. Dunedin, New Zealand, pp 85-90. 2012. [ http | BibTex ]
  33. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection". In Proceedings of the 2012 International Conference on Simulated Evolution And Learning. pp 22-31. 2012. [ http | BibTex ]
  34. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Genetic programming for edge detection using blocks to extract features". In Proceedings of Genetic and Evolutionary Computation Conference. Philadelphia, USA, pp 855-862. ACM Press, 2012. [ http | BibTex ]
  35. Kourosh Neshatian, and Mengjie Zhang. "Improving Relevance Measures Using Genetic Programming". In Proceedings of the 15th European Conference on Genetic Programming. pp 97-108. 2012. [ http | BibTex ]
  36. Su Nguyen, Mengjie Zhang, Mark Johnston, and Kay Chen Tan. "Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming". In Proceedings of the 15th European Conference on Genetic Programming. pp 121-133. 2012. [ http | BibTex ]
  37. Carlton Downey, and Mengjie Zhang. "Execution trace caching for Linear Genetic Programming". In IEEE Congress on Evolutionary Computation. New Orleans, USA, pp 1186-1193. IEEE Press, 2011. [ http | BibTex ]
  38. Anna Friedlander, Kourosh Neshatian, and Mengjie Zhang. "Meta-learning and feature ranking using genetic programming for classification: Variable terminal weighting". In IEEE Congress on Evolutionary Computation. New Orleans, USA, pp 941-948. IEEE Press, 2011. [ http | BibTex ]
  39. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Genetic programming for edge detection: A global approach". In IEEE Congress on Evolutionary Computation. New Orleans, USA, pp 254-261. IEEE Press, 2011. [ http | BibTex ]
  40. Rachel Hunt, Mark Johnston, and Mengjie Zhang. "Improving Robustness of Multiple-Objective Genetic Programming for Object Detection". In Australasian Conference on Artificial Intelligence vol. 7106. pp 311-320. Springer, 2011. [ http | BibTex ]
  41. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Genetic Programming for Edge Detection Based on Accuracy of Each Training Image". In Australasian Conference on Artificial Intelligence vol. 7106. pp 301-310. Springer, 2011. [ http | BibTex ]
  42. Daniel L. Atkins, Kourosh Neshatian, and Mengjie Zhang. "A domain independent Genetic Programming approach to automatic feature extraction for image classification". In IEEE Congress on Evolutionary Computation. New Orleans, USA, pp 238-245. IEEE Press, 2011. [ http | BibTex ]
  43. Aaron Scoble, Mark Johnston, and Mengjie Zhang. "Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming". In Australasian Conference on Artificial Intelligence vol. 7106. pp 341-350. Springer, 2011. [ http | BibTex ]
  44. Carlton Downey, and Mengjie Zhang. "Parallel Linear Genetic Programming". In Proceedings of the 14th European Conference on Genetic Programming vol. 6621. pp 178-189. Springer, 2011. [ http | BibTex ]
  45. Fahmi Abdulhamid, Kourosh Neshatian, and Mengjie Zhang. "Genetic programming for evolving programs with loop structures for classification tasks". In Proceedings of the 5th International Conference on Automation, Robots and Applications. Wellington, New Zealand, pp 202-207. IEEE Press, 2011. [ http | BibTex ]
  46. Rohitash Chandra, Marcus R. Frean, and Mengjie Zhang. "A memetic framework for cooperative coevolution of recurrent neural networks". In Proceedings of 2011 the International Joint Conference on Neural Networks. San Jose, California, pp 673-680. IEEE Press, 2011. [ http | BibTex ]
  47. Rohitash Chandra, Marcus R. Frean, and Mengjie Zhang. "Modularity adaptation in cooperative coevolution of feedforward neural networks". In Proceedings of 2011 the International Joint Conference on Neural Networks. San Jose, California, pp 681-688. IEEE Press, 2011. [ http | BibTex ]
  48. Harith Al-Sahaf, Kourosh Neshatian, and Mengjie Zhang. "Automatic feature extraction and image classification using genetic programming". In Proceedings of the 5th International Conference on Automation, Robots and Applications. Wellington, New Zealand, pp 157-162. IEEE Press, 2011. [ http | BibTex ]
  49. Carlton Downey, and Mengjie Zhang. "Caching for parallel linear genetic programming". In Proceedings of Genetic and Evolutionary Computation Conference (Companion). pp 201-202. ACM Press, 2011. [ http | BibTex ]
  50. Su Nguyen, Mengjie Zhang, and Mark Johnston. "A genetic programming based hyper-heuristic approach for combinatorial optimisation". In Proceedings of Genetic and Evolutionary Computation Conference. pp 1299-1306. ACM Press, 2011. [ http | BibTex ]
  51. Urvesh Bhowan, Mark Johnston, and Mengjie Zhang. "Evolving ensembles in multi-objective genetic programming for classification with unbalanced data". In Proceedings of Genetic and Evolutionary Computation Conference. pp 1331-1338. ACM Press, 2011. [ http | BibTex ]
  52. Fahmi Abdulhamid, Kourosh Neshatian, and Mengjie Zhang. "Image recognition using genetic programming with loop structures". In Proceedings of the Twenty-sixth International Conference on Image and Vision Computing New Zealand vol. 29. Auckland, New Zealand, pp 553-558. 2011. [ .pdf | BibTex ]
  53. Harith Al-Sahaf, Kourosh Neshatian, and Mengjie Zhang. "Two-tier genetic programming for automatic feature extraction, feature selection and image classification". In Proceedings of the Twenty-sixth International Conference on Image and Vision Computing New Zealand vol. 29. Auckland, New Zealand, pp 109-114. 2011. [ .pdf | BibTex ]
  54. Wenlong Fu, Mark Johnston, and Mengjie Zhang. "Analysis of diagonal derivatives in edge detectors evolved by genetic programming". In Proceedings of the Twenty-Sixth International Conference on Image and Vision Computing, New Zealand. Auckland, New Zealand, pp 345-350. 2011. [ .pdf | BibTex ]
  55. Urvesh Bhowan, Mark Johnston, and Mengjie Zhang. "Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data". In Australasian Conference on Artificial Intelligence vol. 7106. pp 192-202. Springer, 2011. [ http | BibTex ]
  56. Thomas Liddle, Mark Johnston, and Mengjie Zhang. "Multi-Objective Genetic Programming for object detection". In IEEE Congress on Evolutionary Computation. Barcelona, Spain, pp 3345-3352. IEEE, 2010. [ http | BibTex ]
  57. Andy Song, Dunhai Chen, and Mengjie Zhang. "Contribution based bloat control in Genetic Programming". In IEEE Congress on Evolutionary Computation. Barcelona, Spain, pp 1725-1732. IEEE, 2010. [ http | BibTex ]
  58. Jan Larres, Mengjie Zhang, and Will Browne. "Using unrestricted loops in genetic programming for image classification". In IEEE Congress on Evolutionary Computation. Barcelona, Spain, pp 4600-4607. IEEE, 2010. [ http | BibTex ]
  59. Daniel L. Atkins, Roman Klapaukh, Will Browne, and Mengjie Zhang. "Evolution of aesthetically pleasing images without human-in-the-loop". In IEEE Congress on Evolutionary Computation. Barcelona, Spain, pp 2194-2201. IEEE, 2010. [ http | BibTex ]
  60. David Kinzett, 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. Barcelona, Spain, pp 3065-3072. IEEE, 2010. [ http | BibTex ]
  61. Urvesh Bhowan, Mengjie Zhang, and Mark Johnston. "AUC analysis of the pareto-front using multi-objective GP for classification with unbalanced data". In Proceedings of Genetic and Evolutionary Computation Conference. Portland, USA, pp 845-852. ACM, 2010. [ http | BibTex ]
  62. Carlton Downey, Mengjie Zhang, and Will Browne. "New crossover operators in linear genetic programming for multiclass object classification". In Proceedings of Genetic and Evolutionary Computation Conference. Portland, USA, pp 885-892. ACM, 2010. [ http | BibTex ]
  63. David Kinzett, Mengjie Zhang, and Mark Johnston. "Analysis of Building Blocks with Numerical Simplification in Genetic Programming". In Proceedings of the 13th European Conference on Genetic Programming vol. 6021. pp 289-300. Springer, 2010. [ http | BibTex ]
  64. Urvesh Bhowan, Mengjie Zhang, and Mark Johnston. "Genetic Programming for Classification with Unbalanced Data". In Proceedings of the 13th European Conference on Genetic Programming vol. 6021. pp 1-13. Springer, 2010. [ http | BibTex ]
  65. Mark Johnston, Thomas Liddle, and Mengjie Zhang. "A Relaxed Approach to Simplification in Genetic Programming". In Proceedings of the 13th European Conference on Genetic Programming vol. 6021. pp 110-121. Springer, 2010. [ http | BibTex ]
  66. Urvesh Bhowan, Mengjie Zhang, and Mark Johnston. "A Comparison of Classification Strategies in Genetic Programming with Unbalanced Data". In Proceedings of the 23rd Australasian Conference on Artificial Intelligence vol. 6464. Adelaide, Australia, pp 243-252. Springer, 2010. [ http | BibTex ]
  67. Rohitash Chandra, Marcus R. Frean, and Mengjie Zhang. "An Encoding Scheme for Cooperative Coevolutionary Feedforward Neural Networks". In Australasian Conference on Artificial Intelligence vol. 6464. Adelaide, Australia, pp 253-262. Springer, 2010. [ http | BibTex ]
  68. Rachel Hunt, Mark Johnston, Will Browne, and Mengjie Zhang. "Sampling Methods in Genetic Programming for Classification with Unbalanced Data". In Australasian Conference on Artificial Intelligence vol. 6464. Adelaide, Australia, pp 273-282. Springer, 2010. [ http | BibTex ]
  69. Kourosh Neshatian, and Mengjie Zhang. "Unsupervised Elimination of Redundant Features Using Genetic Programming". In Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI'09), Lecture Notes in Artificial Intelligence vol. 5866. pp 432-442. Springer, 2009. [ http | BibTex ]
  70. Huayang Xie, and Mengjie Zhang. "Balancing Parent and Offspring Selection in Genetic Programming". In Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI'09) vol. 5866. pp 454-464. Springer, 2009. [ http | BibTex ]
  71. Urvesh Bhowan, Mark Johnston, and Mengjie Zhang. "Differentiating between individual class performance in Genetic Programming fitness for classification with unbalanced data". In IEEE Congress on Evolutionary Computation. pp 2802-2809. IEEE Press, 2009. [ http | BibTex ]
  72. Huayang Xie, and Mengjie Zhang. "An Analysis and Evaluation of the Saving Capability and Feasibility of Backward-Chaining Evolutionary Algorithms". In Proceedings of the 4th Australian Conference on Artificial Life (ACAL'09), Lecture Notes in Artificial Intelligence vol. 5865. pp 63-72. Springer, 2009. [ http | BibTex ]
  73. Urvesh Bhowan, Mengjie Zhang, and Mark Johnston. "Multi-Objective Genetic Programming for Classification with Unbalanced Data". In Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI'09), Lecture Notes in Artificial Intelligence vol. 5866. pp 370-380. Springer, 2009. [ http | BibTex ]
  74. Andy Song, Dunhai Chen, and Mengjie Zhang. "Bloat control in genetic programming by evaluating contribution of nodes". In Proceedings of Genetic and Evolutionary Computation Conference. pp 1893-1894. ACM Press, 2009. [ http | BibTex ]
  75. Mengjie Zhang, Stefano Cagnoni, and Gustavo Olague. "GECCO 2009 Tutorial: Evolutionary Computer Vision". In Proceedings of Genetic and Evolutionary Computation Conference (Companion). pp 3355-3380. ACM Press, 2009. [ http | BibTex ]
  76. Li Li, Xiaodong Wang, and Mengjie Zhang. "Robust Design about Container Terminal Logistics System". In SSME. pp 321-324. 2009. [ http | BibTex ]
  77. Kourosh Neshatian, and Mengjie Zhang. "Genetic Programming for Feature Subset Ranking in Binary Classification Problems". In Proceedings of the 12th European Conference on Genetic Programming vol. 5481. Tübingen, Germany, pp 121-132. Springer, 2009. [ http | BibTex ]
  78. David Kinzett, Mark Johnston, and Mengjie Zhang. "How online simplification affects building blocks in genetic programming". In Proceedings of Genetic and Evolutionary Computation Conference. pp 979-986. ACM Press, 2009. [ http | BibTex ]
  79. Kourosh Neshatian, and Mengjie Zhang. "Pareto front feature selection: using genetic programming to explore feature space". In Proceedings of Genetic and Evolutionary Computation Conference. pp 1027-1034. ACM Press, 2009. [ http | BibTex ]
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  91. Barret Chin, and Mengjie Zhang. "Object Detection Using Neural Networks and Genetic Programming". In Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science. pp 335-340. 2008. [ http | BibTex ]
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  93. Phillip Wong, and Mengjie Zhang. "SCHEME: Caching subtrees in genetic programming". In IEEE Congress on Evolutionary Computation. Hong Kong, pp 2678-2685. IEEE Press, 2008. [ http | BibTex ]
  94. Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke, and Yuhui Shi. "Simulated Evolution and Learning, 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Proceedings". In SEAL vol. 5361. . Springer, 2008. [ http | BibTex ]
  95. William D. Smart, Peter Andreae, and Mengjie Zhang. "Empirical Analysis of GP Tree-Fragments". In Proceedings of the 2007 European Conference on Genetic Programming vol. 4445. pp 55-67. Springer, 2007. [ http | BibTex ]
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  97. Phillip Wong, and Mengjie Zhang. "Effects of program simplification on simple building blocks in Genetic Programming". In IEEE Congress on Evolutionary Computation. Singapore, pp 1570-1577. IEEE Press, 2007. [ http | BibTex ]
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  99. Mengjie Zhang, and Christopher Fogelberg. "Genetic Programming for Image Recognition: An LGP Approach". In Lecture Notes in Computer Science (IASP 2007) vol. 4448. pp 340-350. Springer, 2007. [ http | BibTex ]
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  101. Phillip Lee-Ming Wong, and Mengjie Zhang. "Numerical-node building block analysis of genetic programming with simplification". In Proceedings of Genetic and Evolutionary Computation Conference. pp 1761. ACM Press, 2007. [ http | BibTex ]
  102. Krzysztof Krawiec, 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. Jeju Island, Korea, pp 779-784. IEEE Press, 2007. [ http | BibTex ]
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  104. Grant Patterson, and Mengjie Zhang. "Fitness Functions in Genetic Programming for Classification with Unbalanced Data". In Proceedings of the 20th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence vol. 4830. Gold Coast, Australia, pp 769-775. Springer, 2007. [ http | BibTex ]
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  109. Phillip Wong, and Mengjie Zhang. "Algebraic simplification of GP programs during evolution". In Proceedings of Genetic and Evolutionary Computation Conference. pp 927-934. ACM Press, 2006. [ http | BibTex ]
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  114. Mengjie Zhang, Xiaoying Gao, Weijun Lou, and Dongping Qian. "Investigation of Brood Size in GP with Brood Recombination Crossover for Object Recognition". In Proceedings of 2006 Pacific Rim International Conference on Artificial Intelligence vol. 4099. pp 923-928. Springer, 2006. [ http | BibTex ]
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  116. Huayang Xie, Mengjie Zhang, and Peter Andreae. "Population Clustering in Genetic Programming". In Proceedings of the 2006 European Conference on Genetic Programming vol. 3905. pp 190-201. Springer, 2006. [ http | BibTex ]
  117. Huayang Xie, Mengjie Zhang, and Peter Andreae. "Genetic Programming for Automatic Stress Detection in Spoken English". In Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science vol. 3907. pp 460-471. Springer, 2006. [ http | BibTex ]
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  123. Guang Chen, and Mengjie Zhang. "Evolving While-Loop Structures in Genetic Programming for Factorial and Ant Problems". In Proceedings of the 18th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Computer Science vol. 3809. pp 1079-1085. Springer, 2005. [ http | BibTex ]
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