Genetic Programming Bibliography entries for Edgar Galvan Lopez

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GP coauthors/coeditors: Jonathan Byrne, James McDermott, Michael O'Neill, Brendan Cody-Kenny, Stephen Barrett, David Fagan, Anthony Brabazon, Sean McGarraghy, Miguel Nicolau, Riccardo Poli, Carlos Artemio Coello Coello, Katya Rodriguez-Vazquez, Stephen Dignum, John Mark Swafford, Eoin Murphy, Alexandros Agapitos, Ahmed Kattan, Leonardo Trujillo, Efren Mezura-Montes, Ouassim Ait Elhara, Marc Schoenauer, Lucia Vazquez-Mendoza, Fergal Stapleton, Gavin Simpson, Fred Valdez Ameneyro, Yuliana Martinez, Enrique Naredo, Pierrick Legrand, Quang Uy Nguyen, Nguyen Xuan Hoai, R I (Bob) McKay, Darian Reyes Fernandez de Bulnes, Allan Danilo de Lima, Conor Ryan, Luis Munoz Delgado, Sara Silva, Ernesto Alvarez Gonzalez, Juan Jose Tapia Armenta, Antonin Sebastien Ponsich, Joel Nation,

Genetic Programming Articles by Edgar Galvan Lopez

  1. Edgar Galvan and Gavin Simpson and Fred Valdez Ameneyro. Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-inspired Evolutionary Algorithm in the Game of Carcassonne. IEEE Transactions on Games, 15(3):420-429, 2023. details

  2. Leonardo Trujillo and Joel Nation and Luis Munoz and Edgar Galvan. Predicting the success of transfer learning for genetic programming using DeepInsight feature space alignment. AI Commun., 36(3):159-173, 2023. details

  3. Edgar Galvan and Leonardo Trujillo and Fergal Stapleton. Semantics in Multi-objective Genetic Programming. Applied Soft Computing, 115:108143, 2022. details

  4. Leonardo Trujillo and Ernesto Alvarez Gonzalez and Edgar Galvan and Juan J. Tapia and Antonin Ponsich. On the analysis of hyper-parameter space for a genetic programming system with iterated F-Race. Soft Computing, 24(19):14757-14770, 2020. details

  5. Leonardo Trujillo and Luis Munoz and Edgar Galvan-Lopez and Sara Silva. neat Genetic Programming: Controlling Bloat Naturally. Information Sciences, 333:21-43, 2016. details

  6. Yuliana Martinez and Leonardo Trujillo and Pierrick Legrand and Edgar Galvan-Lopez. Prediction of expected performance for a genetic programming classifier. Genetic Programming and Evolvable Machines, 17(4):409-449, 2016. details

  7. Edgar Galvan-Lopez and James McDermott and Michael O'Neill and Anthony Brabazon. Defining locality as a problem difficulty measure in genetic programming. Genetic Programming and Evolvable Machines, 12(4):365-401, 2012. details

  8. Nguyen Quang Uy and Nguyen Xuan Hoai and Michael O'Neill and R. I. McKay and Edgar Galvan-Lopez. Semantically-based crossover in genetic programming: application to real-valued symbolic regression. Genetic Programming and Evolvable Machines, 12(2):91-119, 2011. details

  9. Edgar Galvan-Lopez and Riccardo Poli and Ahmed Kattan and Michael O'Neill and Anthony Brabazon. Neutrality in Evolutionary Algorithms... What do we know?. Evolving Systems, 2(3):145-163, 2011. details

  10. Edgar Galvan-Lopez. Efficient graph-based genetic programming representation with multiple outputs. International Journal of Automation and Computing, 5(1) 2008. details

Genetic Programming PhD doctoral thesis Edgar Galvan Lopez

Genetic Programming conference papers by Edgar Galvan Lopez

  1. Fergal Stapleton and Edgar Galvan. NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural Networks. In Bing Xue editor, 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE. details

  2. Darian Reyes Fernandez de Bulnes and Allan de Lima and Edgar Galvan and Conor Ryan. Feature Encapsulation by Stages in the Regression Domain Using Grammatical Evolution. In Heike Trautmann and Tea Tusar and Penousal Machado and Thomas Baeck editors, 18th International Conference on Parallel Problem Solving from Nature, University of Applied Sciences Upper Austria, Hagenberg, Austria, 2024. Springer. details

  3. Edgar Galvan and Leonardo Trujillo and Fergal Stapleton. Highlights of Semantics in Multi-objective Genetic Programming. In Marcus Gallagher editor, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 19-20, Boston, USA, 2022. Association for Computing Machinery. details

  4. Fergal Stapleton and Edgar Galvan. Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition. In Yew-Soon Ong editor, 2021 IEEE Congress on Evolutionary Computation (CEC), pages 580-587, Krakow, Poland, 2021. details

  5. Edgar Galvan and Fergal Stapleton. Semantic-based Distance Approaches in Multi-objective Genetic Programming. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI), pages 149-156, 2020. details

  6. Edgar Galvan and Marc Schoenauer. Promoting semantic diversity in multi-objective genetic programming. 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 1021-1029, Prague, Czech Republic, 2019. ACM. details

  7. Edgar Galvan-Lopez and Lucia Vazquez-Mendoza and Marc Schoenauer and Leonardo Trujillo. On the Use of Dynamic GP Fitness Cases in Static and Dynamic Optimisation Problems. In Evelyne Lutton and Pierrick Legrand and Pierre Parrend and Nicolas Monmarche and Marc Schoenauer editors, EA 2017, International Conference on Artificial Evolution, volume 10764), pages 72-87, Paris, France, 2017. Springer. Revised Selected Papers. details

  8. Leonardo Trujillo and Luis Munoz and Edgar Galvan-Lopez and Sara Silva. neat Genetic Programming: Controlling Bloat Naturally. In Benjamin Doerr and 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 2016 Hot of the Press, page hop104, Denver, USA, 2016. ACM. details

  9. Edgar Galvan Lopez and Lucia Vazquez-Mendoza and Leonardo Trujillo. Stochastic Semantic-Based Multi-objective Genetic Programming Optimisation for Classification of Imbalanced Data. In Obdulia Pichardo-Lagunas and Sabino Miranda-Jimenez editors, Mexican International Conference on Artificial Intelligence, volume 10062, pages 261-272, Cancun, Mexico, 2016. Springer. details

  10. Edgar Galvan-Lopez and Efren Mezura-Montes and Ouassim Ait Elhara and Marc Schoenauer. On the Use of Semantics in Multi-Objective Genetic Programming. In Julia Handl and Emma Hart and Peter R. Lewis and Manuel Lopez-Ibanez and Gabriela Ochoa and Ben Paechter editors, 14th International Conference on Parallel Problem Solving from Nature, volume 9921, pages 353-363, Edinburgh, 2016. Springer. details

  11. Brendan Cody-Kenny and Edgar Galvan Lopez and Stephen Barrett. locoGP: Improving Performance by Genetic Programming Java Source Code. In William B. Langdon and Justyna Petke and David R. White editors, Genetic Improvement 2015 Workshop, pages 811-818, Madrid, 2015. ACM. details

  12. Yuliana Martinez and Enrique Naredo and Leonardo Trujillo and Edgar Galvan-Lopez. Searching for Novel Regression Functions. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 16-23, Cancun, Mexico, 2013. details

  13. Edgar Galvan-Lopez and Brendan Cody-Kenny and Leonardo Trujillo and Ahmed Kattan. Using Semantics in the Selection Mechanism in Genetic Programming: a Simple Method for Promoting Semantic Diversity. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 2972-2979, Cancun, Mexico, 2013. details

  14. Leonardo Trujillo and Yuliana Martinez and Edgar Galvan Lopez and Pierrick Legrand. A comparative study of an evolvability indicator and a predictor of expected performance for genetic programming. In Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Will Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and Martin Pelikan and Silja Meyer-Nienberg and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb editors, GECCO Companion '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion, pages 1489-1490, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  15. Ahmed Kattan and Edgar Galvan. Evolving Radial Basis Function Networks via GP for Estimating Fitness Values using Surrogate Models. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 3161-3167, Brisbane, Australia, 2012. details

  16. Edgar Galvan and Leonardo Trujillo and James McDermott and Ahmed Kattan. Locality in Continuous Fitness-Valued Cases and Genetic Programming Difficulty. In Oliver Schuetze and Carlos A. Coello Coello and Alexandru-Adrian Tantar and Emilia Tantar and Pascal Bouvry and Pierre Del Moral and Pierrick Legrand editors, EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II, volume 175, pages 41-56, Mexico City, Mexico, 2012. Springer. details

  17. Leonardo Trujillo and Yuliana Martinez and Edgar Galvan-Lopez and Pierrick Legrand. A comparison of predictive measures of problem difficulty for classification with Genetic Programming. In ERA 2012, Tijuana, Mexico, 2012. details

  18. Leonardo Trujillo and Yuliana Martinez and Edgar Galvan-Lopez and Pierrick Legrand. Predicting problem difficulty for genetic programming applied to data classification. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pages 1355-1362, Dublin, Ireland, 2011. ACM. details

  19. Eoin Murphy and Michael O'Neill and Edgar Galvan-Lopez and Anthony Brabazon. Tree-Adjunct Grammatical Evolution. In 2010 IEEE World Congress on Computational Intelligence, pages 4449-4456, Barcelona, Spain, 2010. IEEE Press. details

  20. James McDermott and Edgar Galvan-Lopez and Michael O'Neill. A Fine-Grained View of GP Locality with Binary Decision Diagrams as Ant Phenotypes. In Robert Schaefer and Carlos Cotta and Joanna Kolodziej and Guenter Rudolph editors, PPSN 2010 11th International Conference on Parallel Problem Solving From Nature, volume 6238, pages 164-173, Krakow, Poland, 2010. Springer. details

  21. Edgar Galvan-Lopez and John Mark Swafford and Michael O'Neill and Anthony Brabazon. Evolving a Ms. PacMan Controller Using Grammatical Evolution. In Cecilia Di Chio and Stefano Cagnoni and Carlos Cotta and Marc Ebner and Aniko Ekart and Anna I. Esparcia-Alcazar and Chi-Keong Goh and Juan J. Merelo and Ferrante Neri and Mike Preuss and Julian Togelius and Georgios N. Yannakakis editors, EvoGAMES, volume 6024, pages 161-170, Istanbul, 2010. Springer. details

  22. Edgar Galvan-Lopez and James McDermott and Michael O'Neill and Anthony Brabazon. Defining Locality in Genetic Programming to Predict Performance. In 2010 IEEE World Congress on Computational Intelligence, pages 1828-1835, Barcelona, Spain, 2010. IEEE Press. details

  23. Edgar Galvan-Lopez and David Fagan and Eoin Murphy and John Mark Swafford and Alexandros Agapitos and Michael O'Neill and Anthony Brabazon. Comparing the Performance of the Evolvable PiGrammatical Evolution Genotype-Phenotype Map to Grammatical Evolution in the Dynamic Ms. Pac-Man Environment. In 2010 IEEE World Congress on Computational Intelligence, pages 1587-1594, Barcelona, Spain, 2010. IEEE Press. details

  24. David Fagan and Miguel Nicolau and Michael O'Neill and Edgar Galvan-Lopez and Anthony Brabazon and Sean McGarraghy. Investigating Mapping Order in piGE. In 2010 IEEE World Congress on Computational Intelligence, pages 3058-3064, Barcelona, Spain, 2010. IEEE Press. details

  25. Jonathan Byrne and James McDermott and Edgar Galvan-Lopez and Michael O'Neill. Implementing an Intuitive Mutation Operator for Interactive Evolutionary 3D Design. In 2010 IEEE World Congress on Computational Intelligence, pages 2919-2925, Barcelona, Spain, 2010. IEEE Press. details

  26. Ahmed Kattan and Edgar Galvan-Lopez and Riccardo Poli and Michael O'Neill. GP-Fileprints: File Types Detection Using Genetic Programming. In Anna Isabel Esparcia-Alcazar and Aniko Ekart and Sara Silva and Stephen Dignum and A. Sima Uyar editors, Proceedings of the 13th European Conference on Genetic Programming, EuroGP 2010, volume 6021, pages 134-145, Istanbul, 2010. Springer. details

  27. Edgar Galvan-Lopez and James McDermott and Michael O'Neill and Anthony Brabazon. Towards an understanding of locality in genetic programming. 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 901-908, Portland, Oregon, USA, 2010. ACM. details

  28. David Fagan and Michael O'Neill and Edgar Galvan-Lopez and Anthony Brabazon and Sean McGarraghy. An Analysis of Genotype-Phenotype Maps in Grammatical Evolution. 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 62-73, Istanbul, 2010. Springer. details

  29. Nguyen Quang Uy and Nguyen Xuan Hoai and Michael O'Neill and Bob McKay and Edgar Galvan-Lopez. An Analysis of Semantic Aware Crossover. In Zhihua Cai and Zhenhua Li and Zhuo Kang and Yong Liu editors, Proceedings of the International Symposium on Intelligent Computation and Applications, volume 51, pages 56-65, 2009. Springer. details

  30. Nguyen Quang Uy and Michael O'Neill and Xuan Hoai Nguyen and Bob McKay and Edgar Galvan Lopez. Semantic Similarity based Crossover in GP: The case for Real-valued Function Regression. In Pierre Collet and Nicolas Monmarche and Pierrick Legrand and Marc Schoenauer and Evelyne Lutton editors, 9th International Conference, Evolution Artificielle, EA 2009, volume 5975, pages 170-181, Strasbourg, France, 2009. Springer. Revised Selected Papers. details

  31. Edgar Galvan-Lopez and Michael O'Neill and Anthony Brabazon. Towards Understanding the Effects of Locality in GP. In Arturo Hernandez Aguirre and Raul Monroy and Carlos Alberto Reyes Garcia editors, Eighth Mexican International Conference on Artificial Intelligence, MICAI 2009, pages 9-14, Guanajuato, Mexico, 2009. details

  32. Edgar Galvan Lopez and Riccardo Poli. An Empirical Investigation of How Degree Neutrality Affects GP Search. In Arturo Hern\'andez Aguirre and Ra\'ul Monroy Borja and Carlos A. Reyes Garc\'\ia editors, MICAI 2009: Advances in Artificial Intelligence, 8th Mexican International Conference on Artificial Intelligence, Proceedings, volume 5845, pages 728-739, Guanajuato, Mexico, 2009. Springer. details

  33. Edgar Galvan-Lopez and Stephen Dignum and Riccardo Poli. The Effects of Constant Neutrality on Performance and Problem Hardness in GP. 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 312-324, Naples, 2008. Springer. details

  34. Edgar Galv\'an-L\'opez and Katya Rodriguez-V\'azquez. Multiple Interactive Outputs in a Single Tree: An Empirical Investigation. 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 341-350, Valencia, Spain, 2007. Springer. details

  35. Edgar Galvan-Lopez and Katya Rodriguez-Vazquez. The Importance of Neutral Mutations in GP. 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 870-879, Reykjavik, Iceland, 2006. Springer-Verlag. details

  36. Edgar Galvan Lopez and Katya Rodriguez Vazquez and Riccardo Poli. Beneficial Aspects of Neutrality in GP. In Franz Rothlauf editor, Late breaking paper at Genetic and Evolutionary Computation Conference (GECCO'2005), Washington, D.C., USA, 2005. details

  37. Edgar Galvan Lopez and Riccardo Poli and Carlos A. Coello Coello. Reusing Code in Genetic Programming. In Maarten Keijzer and Una-May O'Reilly and Simon M. Lucas and Ernesto Costa and Terence Soule editors, Genetic Programming 7th European Conference, EuroGP 2004, Proceedings, volume 3003, pages 359-368, Coimbra, Portugal, 2004. Springer-Verlag. details

Genetic Programming book chapters by Edgar Galvan Lopez

Genetic Programming other entries for Edgar Galvan Lopez