Genetic Programming Bibliography entries for Malcolm Heywood

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.8120

GP coauthors/coeditors: Mihyar Al Masalma, Riyad Alshammari, Peter Lichodzijewski, Nur Zincir-Heywood, Ryan Amaral, Alexandru Ianta, Caleidgh Bayer, Robert J Smith, Aaron Atwater, J P C Bonson, Andrew R McIntyre, Robert Curry, John A Doucette, Olivia Lucca Fraser, John T Jacobs, Ashley George, Fariba Haddadi, Hilmi Gunes Kayacik, Dylan Runkel, James McDermott, Mauro Castelli, Ernesto Costa, Christian Igel, Dirk V Arnold, Christian Gagne, Elena Popovici, Anne Auger, Jaume Bacardit, Dimo Brockhoff, Stefano Cagnoni, Kalyanmoy Deb, Benjamin Doerr, James A Foster, Tobias Glasmachers, Emma Hart, Hitoshi Iba, Christian Jacob, Thomas Jansen, Yaochu Jin, Marouane Kessentini, Joshua D Knowles, William B Langdon, Pedro Larranaga, Sean Luke, Gabriel Luque, John A W McCall, Marco A Montes de Oca, Alison A Motsinger, Yew-Soon Ong, Michael E Palmer, Konstantinos E Parsopoulos, Gunther R Raidl, Sebastian Risi, Guenther Ruhe, Tom Schaul, Thomas Schmickl, Bernhard Sendhoff, Kenneth O Stanley, Thomas Stuetzle, Dirk Thierens, Julian Togelius, Carsten Witt, Christine Zarges, Stefan Burschka, Stephen Kelly, Wolfgang Banzhaf, Sara Khanchi, Ali Vahdat, Tim J Klassen, Krzysztof Krawiec, Patrick LaRoche, Duc C Le, Michal Lemczyk, Alexander Loginov, Garnett Carl Wilson, Xiao Luo, Penousal Machado, Pablo Garcia-Sanchez, Paolo Burelli, Kevin Sim, Miguel Nicolau, Juan Julian Merelo, Victor M Rivas Santos, Benjamin Portman, Noah Sealy, Dong Song, M David Terrio, Jazz Alyxzander Turner-Baggs, Jillian Morgan, Zhilei Zhou, Ziyu Qiu, Brad Niblett, Andrew Johnston, Jeffrey Schwartzentruber,

Genetic Programming Articles by Malcolm Heywood

  1. Robert J. Smith and Malcolm I. Heywood. Interpreting Tangled Program Graphs Under Partially Observable Dota 2 Invoker Tasks. IEEE Transactions on Artificial Intelligence, 5(4):1511-1524, 2024. details

  2. Malcolm I. Heywood. W. B. Langdon ``Jaws 30''. Genetic Programming and Evolvable Machines, 24(2):Article number: 25, 2023. Special Issue: Thirtieth Anniversary of Genetic Programming: On the Programming of Computers by Means of Natural Selection. details

  3. Mihyar Al Masalma and Malcolm Heywood. Benchmarking ensemble genetic programming with a linked list external memory on scalable partially observable tasks. Genetic Programming and Evolvable Machines, 23(Suppl 1):s1-s29, 2022. details

  4. Alexander Loginov and Malcolm Heywood and Garnett Wilson. Stock selection heuristics for performing frequent intraday trading with genetic programming. Genetic Programming and Evolvable Machines, 22(1):35-72, 2021. details

  5. Stephen Kelly and Robert J. Smith and Malcolm I. Heywood and Wolfgang Banzhaf. Emergent Tangled Program Graphs in Partially Observable Recursive Forecasting and ViZDoom Navigation Tasks. ACM Transactions on Evolutionary Learning and Optimization, 1(3) 2021. details

  6. Alexander Loginov and Malcolm Heywood. On the different impacts of fixed versus floating bid-ask spreads on an automated intraday stock trading. The North American Journal of Economics and Finance, 54:101247, 2020. details

  7. Sara Khanchi and Ali Vahdat and Malcolm I. Heywood and A. Nur Zincir-Heywood. On botnet detection with genetic programming under streaming data label budgets and class imbalance. Swarm and Evolutionary Computation, 39:123-140, 2018. details

  8. Stephen Kelly and Malcolm I. Heywood. Emergent Solutions to High-Dimensional Multi-Task Reinforcement Learning. Evolutionary Computation, 26(3):347-380, 2018. details

  9. Stephen Kelly and Malcolm I. Heywood. Discovering Agent Behaviours through Code Reuse: Examples from Half-Field Offense and Ms. Pac-Man. IEEE Transactions on Games, 10(2):195-208, 2018. details

  10. Malcolm I. Heywood. Evolutionary model building under streaming data for classification tasks: opportunities and challenges. Genetic Programming and Evolvable Machines, 16(3):283-326, 2015. details

  11. John A. Doucette and Andrew R. McIntyre and Peter Lichodzijewski and Malcolm I. Heywood. Symbiotic coevolutionary genetic programming: a benchmarking study under large attribute spaces. Genetic Programming and Evolvable Machines, 13(1):71-101, 2012. Special Section on Evolutionary Algorithms for Data Mining. details

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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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 proceedings edited by Malcolm Heywood

  1. Malcolm I. Heywood and James McDermott and Mauro Castelli and Ernesto Costa editors, Proceedings of the 19th European Conference on Genetic Programming, EuroGP 2016. Volume 9594 of LNCS, Porto, Portugal, Springer Verlag, 2016. details

  2. 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, Proceedings of the 18th European Conference on Genetic Programming, EuroGP 2015. Volume 9025 of LNCS, Copenhagen, Springer Verlag, 2015. details

  3. 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, Proceedings of the 17th European Conference on Genetic Programming, EuroGP 2014. Volume 8599 of LNCS, Granada, Spain, Springer Verlag, 2014. details

  4. 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. Vancouver, BC, Canada, 2014. details

Genetic Programming conference papers by Malcolm Heywood

  1. Zhilei Zhou and Nur Zincir-Heywood and Malcolm I. Heywood. Simple Efficient Evolutionary Ensemble Learning on Network Intrusion Detection Benchmarks. In Stephen Smith and Joao Correia and Christian Cintrano editors, 27th International Conference, EvoApplications 2024, volume 14634, pages 361-376, Aberystwyth, 2024. Springer. details

  2. Noah Sealy and Malcolm I. Heywood. Emergent Discovery of Reinforced Programs using Q-Learning and Planning: A Proof of Concept. In Bing Xue editor, 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE. details

  3. Zhilei Zhou and Ziyu Qiu and Brad Niblett and Andrew Johnston and Jeffrey Schwartzentruber and Nur Zincir-Heywood and Malcolm Heywood. A Boosting Approach to Constructing an Ensemble Stack. In Gisele Pappa and Mario Giacobini and Zdenek Vasicek editors, EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming, volume 13986, pages 133-148, Brno, Czech Republic, 2023. Springer Verlag. details

  4. Benjamin Portman and Malcolm Heywood. On the interaction between Lexicase Selection, Modularity and Data Subsets. In Heike Trautmann and Carola Doerr and Alberto Moraglio and Thomas Bartz-Beielstein and Bogdan Filipic and Marcus Gallagher and Yew-Soon Ong and Abhishek Gupta and Anna V Kononova and Hao Wang and Michael Emmerich and Peter A. N. Bosman and Daniela Zaharie and Fabio Caraffini and Johann Dreo and Anne Auger and Konstantin Dietric and Paul Dufosse and Tobias Glasmachers and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Tea Tusar and Dimo Brockhoff and Tome Eftimov and Pascal Kerschke and Boris Naujoks and Mike Preuss and Vanessa Volz and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Mark Coletti and Catherine (Katie) Schuman and Eric ``Siggy'' Scott and Robert Patton and Paul Wiegand and Jeffrey K. Bassett and Chathika Gunaratne and Tinkle Chugh and Richard Allmendinger and Jussi Hakanen and Daniel Tauritz and John Woodward and Manuel Lopez-Ibanez and John McCall and Jaume Bacardit and Alexander Brownlee and Stefano Cagnoni and Giovanni Iacca and David Walker and Jamal Toutouh and UnaMay O'Reilly and Penousal Machado and Joao Correia and Sergio Nesmachnow and Josu Ceberio and Rafael Villanueva and Ignacio Hidalgo and Francisco Fernandez de Vega and Giuseppe Paolo and Alex Coninx and Antoine Cully and Adam Gaier and Stefan Wagner and Michael Affenzeller and Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and William B. Langdon and Justyna Petke and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Paetzel and Alexander Wagner and Michael Heider and Nadarajen Veerapen and Katherine Malan and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Mohammad Nabi Omidvar and Yuan Sun and Ernesto Tarantino and De Falco Ivanoe and Antonio Della Cioppa and Scafuri Umberto and John Rieffel and Jean-Baptiste Mouret and Stephane Doncieux and Stefanos Nikolaidis and Julian Togelius and Matthew C. Fontaine and Serban Georgescu and Francisco Chicano and Darrell Whitley and Oleksandr Kyriienko and Denny Dahl and Ofer Shir and Lee Spector and Alma Rahat and Richard Everson and Jonathan Fieldsend and Handing Wang and Yaochu Jin and Erik Hemberg and Marwa A. Elsayed and Michael Kommenda and William La Cava and Gabriel Kronberger and Steven Gustafson editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 586-589, Boston, USA, 2022. Association for Computing Machinery. details

  5. Ryan Amaral and Alexandru Ianta and Caleidgh Bayer and Robert Smith and Malcolm Heywood. Benchmarking Genetic Programming in a Multi-action Reinforcement Learning Locomotion Task. In Heike Trautmann and Carola Doerr and Alberto Moraglio and Thomas Bartz-Beielstein and Bogdan Filipic and Marcus Gallagher and Yew-Soon Ong and Abhishek Gupta and Anna V Kononova and Hao Wang and Michael Emmerich and Peter A. N. Bosman and Daniela Zaharie and Fabio Caraffini and Johann Dreo and Anne Auger and Konstantin Dietric and Paul Dufosse and Tobias Glasmachers and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Tea Tusar and Dimo Brockhoff and Tome Eftimov and Pascal Kerschke and Boris Naujoks and Mike Preuss and Vanessa Volz and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Mark Coletti and Catherine (Katie) Schuman and Eric ``Siggy'' Scott and Robert Patton and Paul Wiegand and Jeffrey K. Bassett and Chathika Gunaratne and Tinkle Chugh and Richard Allmendinger and Jussi Hakanen and Daniel Tauritz and John Woodward and Manuel Lopez-Ibanez and John McCall and Jaume Bacardit and Alexander Brownlee and Stefano Cagnoni and Giovanni Iacca and David Walker and Jamal Toutouh and UnaMay O'Reilly and Penousal Machado and Joao Correia and Sergio Nesmachnow and Josu Ceberio and Rafael Villanueva and Ignacio Hidalgo and Francisco Fernandez de Vega and Giuseppe Paolo and Alex Coninx and Antoine Cully and Adam Gaier and Stefan Wagner and Michael Affenzeller and Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and William B. Langdon and Justyna Petke and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Paetzel and Alexander Wagner and Michael Heider and Nadarajen Veerapen and Katherine Malan and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Mohammad Nabi Omidvar and Yuan Sun and Ernesto Tarantino and De Falco Ivanoe and Antonio Della Cioppa and Scafuri Umberto and John Rieffel and Jean-Baptiste Mouret and Stephane Doncieux and Stefanos Nikolaidis and Julian Togelius and Matthew C. Fontaine and Serban Georgescu and Francisco Chicano and Darrell Whitley and Oleksandr Kyriienko and Denny Dahl and Ofer Shir and Lee Spector and Alma Rahat and Richard Everson and Jonathan Fieldsend and Handing Wang and Yaochu Jin and Erik Hemberg and Marwa A. Elsayed and Michael Kommenda and William La Cava and Gabriel Kronberger and Steven Gustafson editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 522-525, Boston, USA, 2022. Association for Computing Machinery. details

  6. Mihyar Al Masalma and Malcolm Heywood. Genetic Programming with External Memory in Sequence Recall Tasks. In Heike Trautmann and Carola Doerr and Alberto Moraglio and Thomas Bartz-Beielstein and Bogdan Filipic and Marcus Gallagher and Yew-Soon Ong and Abhishek Gupta and Anna V Kononova and Hao Wang and Michael Emmerich and Peter A. N. Bosman and Daniela Zaharie and Fabio Caraffini and Johann Dreo and Anne Auger and Konstantin Dietric and Paul Dufosse and Tobias Glasmachers and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Tea Tusar and Dimo Brockhoff and Tome Eftimov and Pascal Kerschke and Boris Naujoks and Mike Preuss and Vanessa Volz and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Mark Coletti and Catherine (Katie) Schuman and Eric ``Siggy'' Scott and Robert Patton and Paul Wiegand and Jeffrey K. Bassett and Chathika Gunaratne and Tinkle Chugh and Richard Allmendinger and Jussi Hakanen and Daniel Tauritz and John Woodward and Manuel Lopez-Ibanez and John McCall and Jaume Bacardit and Alexander Brownlee and Stefano Cagnoni and Giovanni Iacca and David Walker and Jamal Toutouh and UnaMay O'Reilly and Penousal Machado and Joao Correia and Sergio Nesmachnow and Josu Ceberio and Rafael Villanueva and Ignacio Hidalgo and Francisco Fernandez de Vega and Giuseppe Paolo and Alex Coninx and Antoine Cully and Adam Gaier and Stefan Wagner and Michael Affenzeller and Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and William B. Langdon and Justyna Petke and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Paetzel and Alexander Wagner and Michael Heider and Nadarajen Veerapen and Katherine Malan and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Mohammad Nabi Omidvar and Yuan Sun and Ernesto Tarantino and De Falco Ivanoe and Antonio Della Cioppa and Scafuri Umberto and John Rieffel and Jean-Baptiste Mouret and Stephane Doncieux and Stefanos Nikolaidis and Julian Togelius and Matthew C. Fontaine and Serban Georgescu and Francisco Chicano and Darrell Whitley and Oleksandr Kyriienko and Denny Dahl and Ofer Shir and Lee Spector and Alma Rahat and Richard Everson and Jonathan Fieldsend and Handing Wang and Yaochu Jin and Erik Hemberg and Marwa A. Elsayed and Michael Kommenda and William La Cava and Gabriel Kronberger and Steven Gustafson editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 518-521, Boston, USA, 2022. Association for Computing Machinery. details

  7. Robert J. Smith and Ryan Amaral and Malcolm I. Heywood. Evolving Simple Solutions to the CIFAR-10 Benchmark using Tangled Program Graphs. In Yew-Soon Ong editor, 2021 IEEE Congress on Evolutionary Computation (CEC), pages 2061-2068, Krakow, Poland, 2021. details

  8. Caleidgh Bayer and Ryan Amaral and Robert Smith and Alexandru Ianta and Malcolm Heywood. Accelerating Tangled Program Graph Evolution under Visual Reinforcement Learning Tasks with Mutation and Multi-actions. In Wolfgang Banzhaf and Leonardo Trujillo and Stephan Winkler and Bill Worzel editors, Genetic Programming Theory and Practice XVIII, pages 1-19, East Lansing, USA, 2021. Springer. details

  9. Krzysztof Krawiec and Malcolm Heywood. Solving Complex Problems with Coevolutionary Algorithms. In Richard Allmendinger and Hugo Terashima Marin and Efren Mezura Montes and Thomas Bartz-Beielstein and Bogdan Filipic and Ke Tang and David Howard and Emma Hart and Gusz Eiben and Tome Eftimov and William La Cava and Boris Naujoks and Pietro Oliveto and Vanessa Volz and Thomas Weise and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Rui Wang and Ran Cheng and Guohua Wu and Miqing Li and Hisao Ishibuchi and Jonathan Fieldsend and Ozgur Akman and Khulood Alyahya and Juergen Branke and John R. Woodward and Daniel R. Tauritz and Marco Baioletti and Josu Ceberio Uribe and John McCall and Alfredo Milani and Stefan Wagner and Michael Affenzeller and Bradley Alexander and Alexander (Sandy) Brownlee and Saemundur O. Haraldsson and Markus Wagner and Nayat Sanchez-Pi and Luis Marti and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and Matthew Johns and Nick Ross and Ed Keedwell and Herman Mahmoud and David Walker and Anthony Stein and Masaya Nakata and David Paetzel and Neil Vaughan and Stephen Smith and Stefano Cagnoni and Robert M. Patton and Ivanoe De Falco and Antonio Della Cioppa and Umberto Scafuri and Ernesto Tarantino and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Erik Hemberg and Riyad Alshammari and Tokunbo Makanju and Fuijimino-shi and Ivan Zelinka and Swagatam Das and Ponnuthurai Nagaratnam and Roman Senkerik editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pages 832-858, internet, 2020. Association for Computing Machinery. Tutorial. details

  10. Robert J. Smith and Malcolm I. Heywood. Evolving dota 2 shadow fiend bots using genetic programming with external memory. In Manuel Lopez-Ibanez and Thomas Stuetzle and Anne Auger and Petr Posik and Leslie Peprez Caceres and Andrew M. Sutton and Nadarajen Veerapen and Christine Solnon and Andries Engelbrecht and Stephane Doncieux and Sebastian Risi and Penousal Machado and Vanessa Volz and Christian Blum and Francisco Chicano and Bing Xue and Jean-Baptiste Mouret and Arnaud Liefooghe and Jonathan Fieldsend and Jose Antonio Lozano and Dirk Arnold and Gabriela Ochoa and Tian-Li Yu and Holger Hoos and Yaochu Jin and Ting Hu and Miguel Nicolau and Robin Purshouse and Thomas Baeck and Justyna Petke and Giuliano Antoniol and Johannes Lengler and Per Kristian Lehre editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference, pages 179-187, Prague, Czech Republic, 2019. ACM. Nominated for Best Paper. details

  11. Robert Smith and Malcolm Heywood. A Model of External Memory for Navigation in Partially Observative Visual Reinforcement Learning Tasks. In Lukas Sekanina and Ting Hu and Nuno Lourenco editors, EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 162-177, Leipzig, Germany, 2019. Springer Verlag. details

  12. Duc C. Le and A. Nur Zincir-Heywood and Malcolm I. Heywood. Dynamic Insider Threat Detection Based on Adaptable Genetic Programming. In 2019 IEEE Symposium Series on Computational Intelligence (SSCI), pages 2579-2586, 2019. details

  13. Duc C. Le and Malcolm I. Heywood and Nur Zincir-Heywood. Benchmarking genetic programming in dynamic insider threat detection. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 385-386, Prague, Czech Republic, 2019. ACM. details

  14. Krzysztof Krawiec and Malcolm Heywood. Solving complex problems with coevolutionary algorithms. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 975-1001, Prague, Czech Republic, 2019. ACM. Tutorial. details

  15. Robert J. Smith and Malcolm I. Heywood. Evolving a Dota 2 Hero Bot with a Probabilistic Shared Memory Model. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, pages 345-366, East Lansing, MI, USA, 2019. Springer. details

  16. Stephen Kelly and Robert J. Smith and Malcolm I. Heywood. Emergent Policy Discovery for Visual Reinforcement Learning Through Tangled Program Graphs: A Tutorial. In Wolfgang Banzhaf and Lee Spector and Leigh Sheneman editors, Genetic Programming Theory and Practice XVI, pages 37-57, Ann Arbor, USA, 2018. Springer. details

  17. Stephen Kelly and Malcolm Heywood. Emergent Tangled Program Graphs in Multi-Task Learning. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18, pages 5294-5298, 2018. AAAI. details

  18. Robert J. Smith and Malcolm I. Heywood. Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom. In Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 135-150, Parma, Italy, 2018. Springer Verlag. details

  19. Sara Khanchi and Nur Zincir-Heywood and Malcolm Heywood. Streaming Botnet traffic analysis using bio-inspired active learning. In NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium, 2018. details

  20. Robert J. Smith and Malcolm I. Heywood. Coevolving Deep Hierarchies of Programs to Solve Complex Tasks. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 1009-1016, Berlin, Germany, 2017. ACM. details

  21. Sara Khanchi and Malcolm I. Heywood and A. Nur Zincir-Heywood. Properties of a GP active learning framework for streaming data with class imbalance. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 945-952, Berlin, Germany, 2017. ACM. details

  22. Stephen Kelly and Malcolm I. Heywood. Multi-task Learning in Atari Video Games with Emergent Tangled Program Graphs. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 195-202, Berlin, Germany, 2017. ACM. details

  23. Stephen Kelly and Malcolm I. Heywood. Emergent Tangled Graph Representations for Atari Game Playing Agents. In Mauro Castelli and James McDermott and Lukas Sekanina editors, EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming, volume 10196, pages 64-79, Amsterdam, 2017. Springer Verlag. best paper. details

  24. Olivia Lucca Fraser and Nur Zincir-Heywood and Malcolm Heywood and John T. Jacobs. Return-oriented Programme Evolution with ROPER: A Proof of Concept. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1447-1454, Berlin, Germany, 2017. ACM. details

  25. Sara Khanchi and Malcolm Iain Heywood and Nur Zincir-Heywood. On the Impact of Class Imbalance in GP Streaming Classification with Label Budgets. In Malcolm I. Heywood and James McDermott and Mauro Castelli and Ernesto Costa and Kevin Sim editors, EuroGP 2016: Proceedings of the 19th European Conference on Genetic Programming, volume 9594, pages 35-50, Porto, Portugal, 2016. Springer Verlag. details

  26. Robert J. Smith and Ayse Nur Zincir-Heywood and Malcolm I. Heywood and John T. Jacobs. Initiating a Moving Target Network Defense with a Real-time Neuro-evolutionary Detector. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 1095-1102, Denver, Colorado, USA, 2016. ACM. details

  27. Robert J. Smith and Stephen Kelly and Malcolm Heywood. Discovering Rubik's Cube Subgroups using Coevolutionary GP -- A Five Twist Experiment. In Tobias Friedrich editor, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 789-796, Denver, USA, 2016. ACM. details

  28. Alexander Loginov and Malcolm I. Heywood and Garnett Wilson. Benchmarking a Coevolutionary Streaming Classifier under the Individual Household Electric Power Consumption Dataset. In 2016 International Joint Conference on Neural Networks (IJCNN), pages 2834-2841, Vancouver, 2016. IEEE Press. details

  29. Krzysztof Krawiec and Malcolm Heywood. Solving Complex Problems with Coevolutionary Algorithms. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 687-713, Denver, Colorado, USA, 2016. ACM. tutorial. details

  30. J. P. C. Bonson and A. R. McIntyre and M. I. Heywood. On novelty driven evolution in Poker. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016. details

  31. Ali Vahdat and Jillian Morgan and Andrew R. McIntyre and Malcolm I. Heywood and A. Nur Zincir-Heywood. Tapped Delay Lines for GP Streaming Data Classification with Label Budgets. 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 126-138, Copenhagen, 2015. Springer. details

  32. Alexander Loginov and Garnett Wilson and Malcolm Heywood. Better Trade Exits for Foreign Exchange Currency Trading using FXGP. In Yadahiko Murata editor, Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 2510-2517, Sendai, Japan, 2015. IEEE Press. details

  33. Stephen Kelly and Malcolm I. Heywood. Knowledge Transfer from Keepaway Soccer to Half-field Offense through Program Symbiosis: Building Simple Programs for a Complex Task. 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 1143-1150, Madrid, Spain, 2015. ACM. details

  34. Stephen Kelly and Malcolm I. Heywood. On Diversity, Teaming, and Hierarchical Policies: Observations from the Keepaway Soccer Task. 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 75-86, Granada, Spain, 2014. Springer. details

  35. Ali Vahdat and Aaron Atwater and Andrew R. McIntyre and Malcolm I. Heywood. On the application of GP to streaming data classification tasks with label budgets. In Jaume Bacardit and Ignacio Arnaldo and Kalyan Veeramachaneni and Una-May O'Reilly editors, GECCO 2014 Workshop on Evolutionary Computation for Big Data and Big Learning, pages 1287-1294, Vancouver, BC, Canada, 2014. ACM. details

  36. Stephen Kelly and Malcolm Heywood. Genotypic versus Behavioural Diversity for Teams of Programs under the 4-v-3 Keepaway Soccer Task. In Proceedings of the 28th AAAI Conference on Artificial Intelligence, 2014. details

  37. Fariba Haddadi and Dylan Runkel and A. Nur Zincir-Heywood and Malcolm I. Heywood. On botnet behaviour analysis using GP and C4.5. In Anna I Esparcia-Alcazar and Frank W. Moore editors, GECCO 2014 Workshop on genetic and evolutionary computation in defense, security and risk management (SecDef), pages 1253-1260, Vancouver, BC, Canada, 2014. ACM. details

  38. Jazz Alyxzander Turner-Baggs and Malcolm I. Heywood. On GPU Based Fitness Evaluation with Decoupled Training Partition Cardinality. 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 489-498, Vienna, 2013. Springer Verlag. details

  39. Sara Rahimi and Andrew R. McIntyre and Malcolm I. Heywood and Nur Zincir-Heywood. Label free change detection on streaming data with cooperative multi-objective genetic programming. 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 159-160, Amsterdam, The Netherlands, 2013. ACM. details

  40. Alexander Loginov and Malcolm I. Heywood. On the Utility of Trading Criteria Based Retraining in Forex Markets. 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 192-202, Vienna, 2013. Springer Verlag. details

  41. Alexander Loginov and Malcolm I. Heywood. On the impact of streaming interface heuristics on GP trading agents: an FX benchmarking study. 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 1341-1348, Amsterdam, The Netherlands, 2013. ACM. details

  42. Fariba Haddadi and H. Gunes Kayacik and A. Nur Zincir-Heywood and Malcolm I. Heywood. Malicious Automatically Generated Domain Name Detection Using Stateful-SBB. 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 529-539, Vienna, 2013. Springer Verlag. details

  43. Aaron Atwater and Malcolm I. Heywood. Benchmarking Pareto archiving heuristics in the presence of concept drift: diversity versus age. 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 885-892, Amsterdam, The Netherlands, 2013. ACM. details

  44. Patrick LaRoche and A. Nur Zincir-Heywood and Malcolm I. Heywood. Protocol Discovery and Analysis via Live Interaction. In Cecilia Di Chio and Alexandros Agapitos and Stefano Cagnoni and Carlos Cotta and F. Fernandez de Vega and Gianni A. Di Caro and Rolf Drechsler and Aniko Ekart and Anna I Esparcia-Alcazar and Muddassar Farooq and William B. Langdon and Juan J. Merelo and Mike Preuss and Hendrik Richter and Sara Silva and Anabela Simoes and Giovanni Squillero and Ernesto Tarantino and Andrea G. B. Tettamanzi and Julian Togelius and Neil Urquhart and A. Sima Uyar and Georgios N. Yannakakis editors, Applications of Evolutionary Computing, EvoApplications2012: EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, EvoSTOC, volume 7248, pages 11-20, Malaga, Spain, 2012. Springer Verlag. details

  45. Stephen Kelly and Peter Lichodzijewski and Malcolm I. Heywood. On Run Time Libraries and Hierarchical Symbiosis. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 3278-3285, Brisbane, Australia, 2012. details

  46. Aaron Atwater and Malcolm I. Heywood and Nur Zincir-Heywood. GP under streaming data constraints: a case for pareto archiving?. 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 703-710, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  47. Patrick LaRoche and A. Nur Zincir-Heywood and Malcolm I. Heywood. Exploring the state space of an application protocol: A case study of SMTP. In IEEE Symposium on Computational Intelligence in Cyber Security (CICS 2011), pages 152-159, Paris, 2011. details

  48. 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

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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

  54. 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

  55. 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

  56. 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

  57. 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, Proceedings of the 11th European Conference on Genetic Programming, EuroGP 2008, volume 4971, pages 289-300, Naples, 2008. Springer. details

  58. 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, Proceedings of the 11th European Conference on Genetic Programming, EuroGP 2008, volume 4971, pages 266-277, Naples, 2008. Springer. details

  59. 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

  60. 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

  61. 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

  62. 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

  63. 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

  64. H. Gunes Kayacik and A. Nur Zincir-Heywood and Malcolm 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

  65. 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

  66. 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

  67. 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

  68. 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

  69. Garnett Carl Wilson and Malcolm Iain 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

  70. 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

  71. 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

  72. 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

  73. 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

  74. 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

  75. 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

  76. 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

  77. 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

  78. 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

  79. 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

  80. 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

  81. 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

  82. 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

  83. 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

  84. 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

  85. 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

  86. 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

  87. 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

  88. 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

  89. 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

  90. 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

  91. 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

  92. 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, Nashville, TN, USA, 2000. IEEE Press. details

Genetic Programming book chapters by Malcolm Heywood

  1. Ali Vahdat and Jillian Morgan and Andrew R. McIntyre and Malcolm I. Heywood and Nur Zincir-Heywood. Evolving GP classifiers for streaming data tasks with concept change and label budgets: A benchmark study. In Amir H. Gandomi and Amir H. Alavi and Conor Ryan editors, Handbook of Genetic Programming Applications, chapter 18, pages 451-480. Springer, 2015. details

  2. Peter Lichodzijewski and Malcolm Heywood. The Rubik Cube and GP Temporal Sequence Learning: An Initial Study. In Rick Riolo and Trent McConaghy and Ekaterina Vladislavleva editors, Genetic Programming Theory and Practice VIII, volume 8 of Genetic and Evolutionary Computation, chapter 3, pages 35-54. Springer, Ann Arbor, USA, 2010. details

  3. John Doucette and Peter Lichodzijewski and Malcolm Heywood. Evolving Coevolutionary Classifiers under Large Attribute Spaces. In Rick L. Riolo and Una-May O'Reilly and Trent McConaghy editors, Genetic Programming Theory and Practice VII, chapter 3, pages 37-54. Springer, Ann Arbor, 2009. details

  4. Andrew R. McIntyre and Malcolm I. Heywood. Pareto Cooperative-Competitive Genetic Programming: A Classification Benchmarking Study. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice VI, chapter 4, pages 43-61. Springer, Ann Arbor, 2008. details