Genetic Programming Bibliography entries for Malcolm Heywood

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GP coauthors/coeditors: Riyad Alshammari, Peter Lichodzijewski, Nur Zincir-Heywood, Robert Curry, John Doucette, Ashley George, Hilmi Gunes Kayacik, Stefan Burschka, Tim J Klassen, Patrick LaRoche, Michal Lemczyk, Xiao Luo, Andrew R McIntyre, Dong Song, M David Terrio, Garnett Carl Wilson,

Genetic Programming Articles by Malcolm Heywood

  1. Andrew R. McIntyre and Malcolm I. Heywood. Classification as Clustering: A Pareto Cooperative-Competitive GP Approach. Evolutionary Computation, 19(1):137-166, 2011. details

  2. Hilmi Gunes Kayacik and A. Nur Zincir-Heywood and Malcolm I. Heywood. Evolutionary computation as an artificial attacker: generating evasion attacks for detector vulnerability testing. Evolutionary Intelligence, 4(4):243-266, 2011. details

  3. Hilmi Gunes Kayacik and A. Nur Zincir-Heywood and Malcolm I. Heywood. Can a good offense be a good defense? Vulnerability testing of anomaly detectors through an artificial arms race. Applied Soft Computing, 11(7):4366-4383, 2011. details

  4. Peter Lichodzijewski and Malcolm I. Heywood. Coevolutionary bid-based genetic programming for problem decomposition in classification. Genetic Programming and Evolvable Machines, 9(4):331-365, 2008. details

  5. Robert Curry and Peter Lichodzijewski and Malcolm I. Heywood. Scaling Genetic Programming to Large Datasets Using Hierarchical Dynamic Subset Selection. IEEE Transactions on Systems, Man, and Cybernetics: Part B - Cybernetics, 37(4):1065-1073, 2007. details

  6. Garnett Wilson and Malcolm Heywood. Introducing probabilistic adaptive mapping developmental genetic programming with redundant mappings. Genetic Programming and Evolvable Machines, 8(2):187-220, 2007. Special issue on developmental systems. details

  7. Dong Song and Malcolm I. Heywood and A. Nur Zincir-Heywood. Training genetic programming on half a million patterns: an example from anomaly detection. IEEE Transactions on Evolutionary Computation, 9(3):225-239, 2005. details

  8. G. C. Wilson and A. McIntyre and M. I. Heywood. Resource Review: Three Open Source Systems for Evolving Programs--Lilgp, ECJ and Grammatical Evolution. Genetic Programming and Evolvable Machines, 5(1):103-105, 2004. details

  9. M. I. Heywood and A. N. Zincir-Heywood. Dynamic Page Based Crossover in Linear Genetic Programming. IEEE Transactions on Systems, Man, and Cybernetics: Part B - Cybernetics, 32(3):380-388, 2002. details

  10. Garnett Wilson and Malcolm Heywood. Crossover context in page-based linear genetic programming. Canadian Journal of Electrical and Computer Engineering, 27(3):113-116, 2002. details

Genetic Programming conference papers by Malcolm Heywood

  1. John Doucette and Malcolm Heywood. Revisiting the Acrobot `height' task: An example of Efficient Evolutionary Policy Search under an Episodic Goal Seeking Task. In Alice E. Smith editor, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, pages 468-475, New Orleans, USA, 2011. IEEE Press. details

  2. Peter Lichodzijewski and Malcolm I. Heywood. Symbiosis, complexification and simplicity under GP. 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 853-860, Portland, Oregon, USA, 2010. ACM. details

  3. Patrick LaRoche and Nur Zincir-Heywood and Malcolm Heywood. Using Code Bloat to Obfuscate Evolved Network Traffic. In Cecilia Di Chio and Anthony Brabazon and Gianni A. Di Caro and Marc Ebner and Muddassar Farooq and Andreas Fink and Jorn Grahl and Gary Greenfield and Penousal Machado and Michael O'Neill and Ernesto Tarantino and Neil Urquhart editors, EvoCOMNET, volume 6025, pages 101-110, Istanbul, 2010. Springer. details

  4. John Doucette and Malcolm Heywood. Novelty-based Fitness: An Evaluation under the Santa Fe Trail. 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 50-61, Istanbul, 2010. Springer. details

  5. Patrick LaRoche and Nur Zincir-Heywood and Malcolm I. Heywood. Evolving TCP/IP packets: A case study of port scans. In IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2009, pages 1-8, 2009. details

  6. H. Gunes Kayacik and A. Nur Zincir-Heywood and Malcolm I. Heywood and Stefan Burschka. Generating mimicry attacks using genetic programming: A benchmarking study. In IEEE Symposium on Computational Intelligence in Cyber Security, CICS '09, pages 136-143, 2009. details

  7. John Doucette and Peter Lichodzijewski and Malcolm I. Heywood. Benchmarking coevolutionary teaming under classification problems with large attribute spaces. 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 1901-1902, Montreal, 2009. ACM. details

  8. Riyad Alshammari and Peter Lichodzijewski and Malcolm I. Heywood and A. Nur Zincir-Heywood. Classifying SSH encrypted traffic with minimum packet header features using genetic programming. In Anna I. Esparcia and Ying-ping Chen and Gabriela Ochoa and Ender Ozcan and Marc Schoenauer and Anne Auger and Hans-Georg Beyer and Nikolaus Hansen and Steffen Finck and Raymond Ros and Darrell Whitley and Garnett Wilson and Simon Harding and W. B. Langdon and Man Leung Wong and Laurence D. Merkle and Frank W. Moore and Sevan G. Ficici and William Rand and Rick Riolo and Nawwaf Kharma and William R. Buckley and Julian Miller and Kenneth Stanley and Jaume Bacardit and Will Browne and Jan Drugowitsch and Nicola Beume and Mike Preuss and Stephen L. Smith and Stefano Cagnoni and Jim DeLeo and Alexandru Floares and Aaron Baughman and Steven Gustafson and Maarten Keijzer and Arthur Kordon and Clare Bates Congdon and Laurence D. Merkle and Frank W. Moore editors, GECCO-2009 Defense applications of computational intelligence workshop, pages 2539-2546, Montreal, 2009. ACM. details

  9. Robert Curry and Malcolm Heywood. One-Class Genetic Programming. 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 1-12, Tuebingen, 2009. Springer. details

  10. Andrew R. McIntyre and Malcolm I. Heywood. Cooperative Problem Decomposition in Pareto Competitive Classifier Models of Coevolution. 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 289-300, Naples, 2008. Springer. details

  11. John Doucette and Malcolm I. Heywood. GP Classification under Imbalanced Data sets: Active Sub-sampling and AUC Approximation. 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 266-277, Naples, 2008. Springer. details

  12. Peter Lichodzijewski and Malcolm I. Heywood. Managing team-based problem solving with symbiotic bid-based genetic programming. 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 363-370, Atlanta, GA, USA, 2008. ACM. details

  13. H. Gunes Kayacik and Malcolm Iain Heywood and A. Nur Zincir-Heywood. Evolving Buffer Overflow Attacks with Detector Feedback. 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 11-20, Valencia, Spain, 2007. Springer Verlag. details

  14. Peter Lichodzijewski and Malcolm I. Heywood. GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions. 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 137-147, Valencia, Spain, 2007. Springer. details

  15. Michal Lemczyk and Malcolm I. Heywood. Training Binary GP Classifiers Efficiently: a Pareto-coevolutionary Approach. 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 229-240, Valencia, Spain, 2007. Springer. details

  16. A. R. McIntyre and M. I. Heywood. Multi-Objective Competitive Coevolution for Efficient GP Classifier Problem Decomposition. In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, pages 1930-1937, Montreal, 2007. IEEE Press. details

  17. H. G. Kayacik and A. N. Zincir-Heywood and M. I. Heywood. Automatically Evading IDS using GP Authored Attacks. In IEEE Symposium on computational Intelligence in Security and Defense Applications, pages 153-160, Honolulu, 2007. IEEE Press. details

  18. R. Curry and M. I. Heywood. One-Class Learning with Multi-Objective Genetic Programming. In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, pages 1938-1945, Montreal, 2007. IEEE Press. details

  19. Garnett Wilson and Malcolm Heywood. Learning recursive programs with cooperative coevolution of genetic code mapping and genotype. 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 1, pages 1053-1061, London, 2007. ACM Press. details

  20. Peter Lichodzijewski and Malcolm I. Heywood. Pareto-coevolutionary genetic programming for problem decomposition in multi-class classification. 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 1, pages 464-471, London, 2007. ACM Press. details

  21. Garnett Wilson and Malcolm Heywood. Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP): A New Developmental Approach. In Thomas Philip Runarsson and Hans-Georg Beyer and Edmund Burke and Juan J. Merelo-Guervos and L. Darrell Whitley and Xin Yao editors, Parallel Problem Solving from Nature - PPSN IX, volume 4193, pages 751-760, Reykjavik, Iceland, 2006. Springer-Verlag. details

  22. G. C. Wilson and M. I. Heywood. Probabilistic (Genotype) Adaptive Mapping Combinations for Developmental Genetic Programming. In Gary G. Yen and Simon M. Lucas and Gary Fogel and Graham Kendall and Ralf Salomon and Byoung-Tak Zhang and Carlos A. Coello Coello and Thomas Philip Runarsson editors, Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 2498-2505, Vancouver, BC, Canada, 2006. IEEE Press. details

  23. Hilmi Gunes Kayacik and Malcolm Heywood and Nur Zincir-Heywood. On evolving buffer overflow attacks using genetic programming. 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 2, pages 1667-1674, Seattle, Washington, USA, 2006. ACM Press. details

  24. Michal Lemczyk and Malcolm Heywood. Pareto-coevolutionary genetic programming classifier. 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 945-946, Seattle, Washington, USA, 2006. ACM Press. details

  25. Ashley George and Malcolm I. Heywood. Improving GP classifier generalization using a cluster separation metric. 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 939-940, Seattle, Washington, USA, 2006. ACM Press. details

  26. Andrew McIntyre and Malcolm Heywood. MOGE: GP classification problem decomposition using multi-objective optimization. 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 863-870, Seattle, Washington, USA, 2006. ACM Press. details

  27. Peter Lichodzijewski and Malcolm I. Heywood and A. Nur Zincir-Heywood. CasGP: Building Cascaded Hierarchical Models Using Niching. In David Corne and Zbigniew Michalewicz and Marco Dorigo and Gusz Eiben and David Fogel and Carlos Fonseca and Garrison Greenwood and Tan Kay Chen and Guenther Raidl and Ali Zalzala and Simon Lucas and Ben Paechter and Jennifier Willies and Juan J. Merelo Guervos and Eugene Eberbach and Bob McKay and Alastair Channon and Ashutosh Tiwari and L. Gwenn Volkert and Dan Ashlock and Marc Schoenauer editors, Proceedings of the 2005 IEEE Congress on Evolutionary Computation, volume 2, pages 1180-1187, Edinburgh, UK, 2005. IEEE Press. details

  28. Garnett Carl Wilson and Malcolm I. Heywood. Context-Based Repeated Sequences in Linear Genetic Programming. 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 240-249, Lausanne, Switzerland, 2005. Springer. details

  29. A. R. McIntyre and M. I. Heywood. Toward Co-Evolutionary Training of a Multi-Class Classifier. In David Corne and Zbigniew Michalewicz and Marco Dorigo and Gusz Eiben and David Fogel and Carlos Fonseca and Garrison Greenwood and Tan Kay Chen and Guenther Raidl and Ali Zalzala and Simon Lucas and Ben Paechter and Jennifier Willies and Juan J. Merelo Guervos and Eugene Eberbach and Bob McKay and Alastair Channon and Ashutosh Tiwari and L. Gwenn Volkert and Dan Ashlock and Marc Schoenauer editors, Proceedings of the 2005 IEEE Congress on Evolutionary Computation, volume 3, pages 2130-2137, Edinburgh, UK, 2005. IEEE Press. details

  30. Garnett Wilson and Malcolm Heywood. Use of a genetic algorithm in brill's transformation-based part-of-speech tagger. In Hans-Georg Beyer and Una-May O'Reilly and Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and Eric W. Bonabeau and Erick Cantu-Paz and Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and Edwin D. de Jong and Hod Lipson and Xavier Llora and Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and Terence Soule and Andy M. Tyrrell and Jean-Paul Watson and Eckart Zitzler editors, GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, volume 2, pages 2067-2073, Washington DC, USA, 2005. ACM Press. details

  31. Xiao Luo and Malcolm I. Heywood and A. Nur Zincir-Heywood. Evolving recurrent models using linear GP. In Hans-Georg Beyer and Una-May O'Reilly and Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and Eric W. Bonabeau and Erick Cantu-Paz and Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and Edwin D. de Jong and Hod Lipson and Xavier Llora and Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and Terence Soule and Andy M. Tyrrell and Jean-Paul Watson and Eckart Zitzler editors, GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, volume 2, pages 1787-1788, Washington DC, USA, 2005. ACM Press. details

  32. H. Gunes Kayacyk and A. Nur Zincir-Heywood and Malcolm Heywood. Evolving Successful Stack Overflow Attacks for Vulnerability Testing. In 21st Annual Computer Security Applications Conference (ACSAC'05), pages 225-234, 2005. IEEE Computer Society. details

  33. Garnett C. Wilson and Malcolm I. Heywood. Search Operator Bias in Linearly Structured Genetic Programming. In Maarten Keijzer editor, Late Breaking Papers at the 2004 Genetic and Evolutionary Computation Conference, Seattle, Washington, USA, 2004. details

  34. D. Song and R. Curry and M. I. Heywood and A. N. Zincir-Heywood. On the Efficient Mining of Network Audit Data using Genetic Programming. In R. Poli and S. Cagnoni and M. Keijzer and E. Costa and F. Pereira and G. Raidl and S. C. Upton and D. Goldberg and H. Lipson and E. de Jong and J. Koza and H. Suzuki and H. Sawai and I. Parmee and M. Pelikan and K. Sastry and D. Thierens and W. Stolzmann and P. L. Lanzi and S. W. Wilson and M. O'Neill and C. Ryan and T. Yu and J. F. Miller and I. Garibay and G. Holifield and A. S. Wu and T. Riopka and M. M. Meysenburg and A. W. Wright and N. Richter and J. H. Moore and M. D. Ritchie and L. Davis and R. Roy and M. Jakiela editors, GECCO 2004 Workshop Proceedings, Seattle, Washington, USA, 2004. details

  35. Peter Lichodzijewski and Nur Zincir-Heywood and Malcolm Heywood. Cascaded GP Models for Data Mining. In Proceedings of the 2004 IEEE Congress on Evolutionary Computation, pages 2258-2264, Portland, Oregon, 2004. IEEE Press. details

  36. Robert Curry and Malcolm I. Heywood. Towards Efficient Training on Large Datasets for Genetic Programming. In Ahmed Y. Tawfik and Scott D. Goodwin editors, 17th Conference of the Canadian Society for Computational Studies of Intelligence, volume 3060, pages 161-174, London, Ontario, Canada, 2004. Springer-Verlag. details

  37. M. David Terrio and Malcolm I. Heywood. On Naive Crossover Biases with Reproduction for Simple Solutions to Classification Problems. In Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell editors, Genetic and Evolutionary Computation -- GECCO-2004, Part II, volume 3103, pages 678-689, Seattle, WA, USA, 2004. Springer-Verlag. details

  38. A. R. McIntyre and M. I. Heywood. On Multi-class Classification by Way of Niching. In Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell editors, Genetic and Evolutionary Computation -- GECCO-2004, Part II, volume 3103, pages 581-592, Seattle, WA, USA, 2004. Springer-Verlag. details

  39. Dong Song and Malcolm I. Heywood and A. Nur Zincir-Heywood. A Linear Genetic Programming Approach to Intrusion Detection. In E. Cant\'u-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller editors, Genetic and Evolutionary Computation -- GECCO-2003, volume 2724, pages 2325-2336, Chicago, 2003. Springer-Verlag. details

  40. A. R. McIntyre and M. I. Heywood. A Grammatical Evolution Multi-Classifier through Crowding. In Bart Rylander editor, Genetic and Evolutionary Computation Conference Late Breaking Papers, pages 219-226, Chicago, USA, 2003. details

  41. G. C. Wilson and M. I. Heywood. Crossover Context in Page-based Linear Genetic Programming. In W. Kinsner and A. Seback and K. Ferens editors, IEEE CCECE 2002: IEEE Canadian Conference on Electrical and Computer Engineering, volume 2, pages 809-814, 2002. IEEE Press. details

  42. M. Terrio and M. I. Heywood. Directing Crossover for Reduction of Bloat in GP. In W. Kinsner and A. Seback and K. Ferens editors, IEEE CCECE 2003: IEEE Canadian Conference on Electrical and Computer Engineering, pages 1111-1115, 2002. IEEE Press. details

  43. Tim J. Klassen and Malcolm I. Heywood. Towards the On-line Recognition of Arabic Characters. In Proceedings of the 2002 International Joint Conference on Neural Networks IJCNN'02, pages 1900-1905, Hilton Hawaiian Village Hotel, Honolulu, Hawaii, 2002. IEEE Press. details

  44. M. I. Heywood and A. N. Zincir-Heywood. Register Based Genetic Programming on FPGA Computing Platforms. In Riccardo Poli and Wolfgang Banzhaf and William B. Langdon and Julian F. Miller and Peter Nordin and Terence C. Fogarty editors, Genetic Programming, Proceedings of EuroGP'2000, volume 1802, pages 44-59, Edinburgh, 2000. Springer-Verlag. details

  45. M. I. Heywood and A. N. Zincir-Heywood. Page-based linear genetic programming. In Systems, Man, and Cybernetics, 2000 IEEE International Conference, volume 5, pages 3823-3828, IEEE Press, 2000. details

Genetic Programming book chapters by Malcolm Heywood