Genetic Programming Bibliography entries for Leonardo Trujillo

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GP coauthors/coeditors: Illya Bakurov, Jose Manuel Munoz Contreras, Mauro Castelli, Nuno Miguel Rodrigues Domingos, Sara Silva, Leonardo Vanneschi, Wolfgang Banzhaf, Erik Goodman, Leigh Sheneman, William P Worzel, Stephan M Winkler, Stefano Beretta, Yuliana Martinez, Luis Munoz Delgado, Luciano Milanesi, Ivan Merelli, Ales Popovic, Luis Cardenas Florido, Daniel Eduardo Hernandez Morales, Jose Ricardo Cardenas Valdez, Emigdio Z-Flores, Jose Cruz Nunez Perez, Pierrick Legrand, Luca Manzoni, Ivo Goncalves, Raul Sormani, Josue Enriquez-Zarate, Salvador de Lara, Anna Esparcia-Alcazar, Francisco Fernandez de Vega, Gustavo Olague, Daniel Lombrana Gonzalez Rodriguez, Jose Alejandro Galaviz-Aguilar, Patrick Roblin, Oliver Schuetze, Edgar Galvan Lopez, James McDermott, Ahmed Kattan, Brendan Cody-Kenny, Lucia Vazquez-Mendoza, Marc Schoenauer, Fergal Stapleton, Mario Garcia-Valdez, Juan Julian Merelo, Miguel Cardenas Montes, Lourdes Araujo, Pedro A Castillo Valdivieso, Kenneth C Sharman, Arlindo Ferreira da Silva, Carlos Antonio Goribar Jimenez, Yazmin Maldonado Robles, Jose Enrique Hernandez-Beltran, Victor Hugo Diaz-Ramirez, Charles Ofria, Ting Hu, Domagoj Jakobovic, Eric Medvet, Gisele L Pappa, Perla Sarahi Juarez-Smith, Francisco Chavez de la O, Jesus Roberto Lopez Santillan, Luis Carlos Gonzalez Gurrola, Olanda Prieto-Ordaz, Graciela Maria de Jesus Ramirez Alonso, Antonio Posada, Norma Leticia Méndez Mariscal, Johan Wahlstrom, Manuel Montes-y-Gomez, Uriel Lopez, Enrique Naredo, Victor Raul Lopez Lopez, Ruben Dario Salas Villegas, Joel Antonio Quevedo Felix, Rogelio Valdez, Enrique Dunn, Paulo Urbano, Conor Ryan, Ivan Guevara, Tiziana Margaria, Candelaria Elizabeth Sansores Perez, Flaviano Godinez, Francisco Lopez Valverde, Eva Romero, Bir Bhanu, Cristian Sandoval, Oliver Cuate, Zoe Sigrist, Guillaume Ferre, Eric Grivel, Vijay Ingalalli, Manuel Lopez-Ibanez, Sanaz Mostaghim, Jon Timmis, Christine Zarges, Luis Correia, Terence Soule, Mario Giacobini, Ryan J Urbanowicz, Youhei Akimoto, Tobias Glasmachers, Amy Hoover, Pedro Larranaga, Marta Soto, Carlos Cotta, Francisco Jose Baptista Pereira, Julia Handl, Jan Koutnik, Antonio Gaspar-Cunha, Heike Trautmann, Jean-Baptiste Mouret, Sebastian Risi, Ernesto Costa, Krzysztof Krawiec, Alberto Moraglio, Julian F Miller, Pawel Widera, Stefano Cagnoni, Emma Hart, Marouane Kessentini, Gabriela Ochoa, Francisco Chicano, Carola Doerr, Arturo Sotelo, Enrique Guijarro Estelles, Luis N Coria, Lee Spector, Evelyne Lutton, Jacques Levy-Vehel, Patricia Melin, William B Langdon, Ernesto Alvarez Gonzalez, Juan Jose Tapia Armenta, Antonin Sebastien Ponsich, Omar Manuel Villanueva Contreras, Nuno Lourenco, Mengjie Zhang, Joel Nation, Kristen M Scott, Mohamed Abatal, Ali Bassam, Youness El Hamzaoui, Frederique Faita-Ainseba,

Genetic Programming Articles by Leonardo Trujillo

  1. Luis Cardenas Florido and Leonardo Trujillo and Daniel E. Hernandez and Jose Manuel Munoz Contreras. M5GP: Parallel Multidimensional Genetic Programming with Multidimensional Populations for Symbolic Regression. Mathematical and Computational Applications, 29(2):Article No. 25, 2024. details

  2. Lee Spector and Leonardo Trujillo. Chief editorship transition. Genetic Programming and Evolvable Machines, 25:Article no 22, 2024. Online first. details

  3. Yazmin Maldonado and Ruben Salas and Joel A. Quevedo and Rogelio Valdez and Leonardo Trujillo. GSGP-hardware: instantaneous symbolic regression with an FPGA implementation of geometric semantic genetic programming. Genetic Programming and Evolvable Machines, 25:Article no 18, 2024. Online first. details

  4. Domagoj Jakobovic and Eric Medvet and Gisele L. Pappa and Leonardo Trujillo. Introduction to special issue on highlights of genetic programming 2022 events. Genetic Programming and Evolvable Machines, 25:Article no 1, 2024. EditorialOnline first. details

  5. Illya Bakurov and Jose Manuel Munoz Contreras and Mauro Castelli and Nuno Rodrigues and Sara Silva and Leonardo Trujillo and Leonardo Vanneschi. Geometric semantic genetic programming with normalized and standardized random programs. Genetic Programming and Evolvable Machines, 25:Article no 6, 2024. Online first. details

  6. Leonardo Vanneschi and Leonardo Trujillo. Introduction to the peer commentary special section on ``Jaws 30'' by W. B. Langdon. Genetic Programming and Evolvable Machines, 24(2):Article number: 18, 2023. Special Issue: Thirtieth Anniversary of Genetic Programming: On the Programming of Computers by Means of Natural Selection \citekoza:book. details

  7. Enrique Naredo and Candelaria Sansores and Flaviano Godinez and Francisco Lopez and Paulo Urbano and Leonardo Trujillo and Conor Ryan. Comprehensive Analysis of Learning Cases in an Autonomous Navigation Task for the Evolution of General Controllers. Mathematical and Computational Applications, 28(2) 2023. details

  8. 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

  9. Leonardo Trujillo and Jose Manuel Munoz Contreras and Daniel E. Hernandez and Mauro Castelli and Juan J. Tapia. GSGP-CUDA - A CUDA framework for Geometric Semantic Genetic Programming. SoftwareX, 18:101085, 2022. details

  10. Leonardo Trujillo and Ting Hu and Nuno Lourenco and Mengjie Zhang. Editorial Introduction. Genetic Programming and Evolvable Machines, 23(3):305-307, 2022. details

  11. Cristian Sandoval and Oliver Cuate and Luis C. Gonzalez and Leonardo Trujillo and Oliver Schuetze. Towards fast approximations for the hypervolume indicator for multi-objective optimization problems by Genetic Programming. Applied Soft Computing, 125:109103, 2022. details

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

  13. Leonardo Trujillo and Omar M. Villanueva and Daniel E. Hernandez. A Novel Approach For Search-Based Program Repair. IEEE Software, 38(4):36-42, 2021. details

  14. Emigdio Z-Flores and Leonardo Trujillo and Pierrick Legrand and Frederique Faita-Ainseba. EEG Feature Extraction Using Genetic Programming for the Classification of Mental States. Algorithms, 13(9) 2020. details

  15. Leonardo Trujillo and Uriel Lopez and Pierrick Legrand. SOAP: Semantic outliers automatic preprocessing. Information Sciences, 526:86-101, 2020. details

  16. Luis Munoz and Leonardo Trujillo and Sara Silva. Transfer learning in constructive induction with Genetic Programming. Genetic Programming and Evolvable Machines, 21(4):529-569, 2020. details

  17. Anna I. Esparcia-Alcazar and Leonardo Trujillo. Special Issue on Integrating numerical optimization methods with genetic programming. Genetic Programming and Evolvable Machines, 21(3):469-470, 2020. Guest Editorial: Special Issue on Integrating numerical optimization methods with genetic programming. details

  18. 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

  19. Perla Juarez-Smith and Leonardo Trujillo and Mario Garcia-Valdez and Francisco Fernandez de Vega and Francisco Chavez. Pool-Based Genetic Programming Using Evospace, Local Search and Bloat Control. Mathematical and Computational Applications, 24(3) 2019. details

  20. Leonardo Vanneschi and Mauro Castelli and Kristen Scott and Leonardo Trujillo. Alignment-based genetic programming for real life applications. Swarm and Evolutionary Computation, 44:840-851, 2019. details

  21. Luis Munoz and Leonardo Trujillo and Sara Silva and Mauro Castelli and Leonardo Vanneschi. Evolving multidimensional transformations for symbolic regression with M3GP. Memetic Computing, 11(2):111-126, 2019. details

  22. Victor R. Lopez-Lopez and Leonardo Trujillo and Pierrick Legrand. Applying Genetic Improvement to a Genetic Programming library in C++. Soft Computing, 23(22):11593-11609, 2019. details

  23. Perla Juarez-Smith and Leonardo Trujillo and Mario Garcia-Valdez and Francisco Fernandez de Vega and Francisco Chavez. Local search in speciation-based bloat control for genetic programming. Genetic Programming and Evolvable Machines, 20(3):351-384, 2019. details

  24. Jose Enrique Hernandez-Beltran and Victor H. Diaz-Ramirez and Leonardo Trujillo and Pierrick Legrand. Design of estimators for restoration of images degraded by haze using genetic programming. Swarm and Evolutionary Computation, 44:49-63, 2019. details

  25. Jose Alejandro Galaviz-Aguilar and Patrick Roblin and Jose Ricardo Cardenas-Valdez and Emigdio Z.-Flores and Leonardo Trujillo and Jose-Cruz Nunez Perez and Oliver Schuetze. Comparison of a genetic programming approach with ANFIS for power amplifier behavioral modeling and FPGA implementation. Soft Computing, 23(7):2463-2481, 2019. details

  26. Leonardo Trujillo and W. B. Langdon. EuroGP 2018 Panel Debate: Genetic Programming in the Era of Deep Neural Networks. SIGEVOlution, 11(2):3-6, 2018. details

  27. Jesus R. Lopez and Luis C. Gonzalez and Johan Wahlstrom and Manuel Montes y Gomez and Leonardo Trujillo and Graciela Ramirez-Alonso. A Genetic Programming Approach for Driving Score Calculation in the Context of Intelligent Transportation Systems. IEEE Sensors Journal, 18(17):7183-7192, 2018. details

  28. Roberto Lopez and Luis Carlos Gonzalez Gurrola and Leonardo Trujillo and Olanda Prieto and Graciela Ramirez and Antonio Posada and Perla Juarez-Smith and Leticia Mendez. How Am I Driving? Using Genetic Programming to Generate Scoring Functions for Urban Driving Behavior. Mathematical and Computational Applications, 23(2):19, 2018. Special Issue Numerical and Evolutionary Optimization. details

  29. Stefano Beretta and Mauro Castelli and Luis Munoz and Leonardo Trujillo and Yuliana Martinez and Ales Popovic and Luciano Milanesi and Ivan Merelli. A Scalable Genetic Programming Approach to Integrate miRNA-Target Predictions: Comparing Different Parallel Implementations of M3GP. Complexity, 2018:Article ID 4963139, 2018. details

  30. Yuliana Martinez and Enrique Naredo and Leonardo Trujillo and Pierrick Legrand and Uriel Lopez. A comparison of fitness-case sampling methods for genetic programming. Journal of Experimental \& Theoretical Artificial Intelligence, 29(6):1203-1224, 2017. details

  31. Mauro Castelli and Leonardo Vanneschi and Leonardo Trujillo and Ales Popovic. Stock index return forecasting: semantics-based genetic programming with local search optimiser. International Journal of Bio-Inspired Computation, 10(3):159-171, 2017. details

  32. Mauro Castelli and Raul Sormani and Leonardo Trujillo and Ales Popovic. Predicting per capita violent crimes in urban areas: an artificial intelligence approach. Journal of Ambient Intelligence and Humanized Computing, 8(1):29-36, 2017. details

  33. Mauro Castelli and Ivo Goncalves and Leonardo Trujillo and Ales Popovic. An evolutionary system for ozone concentration forecasting. Information Systems Frontiers, 19(5):1123-1132, 2017. details

  34. Emigdio Z-Flores and Mohamed Abatal and Ali Bassam and Leonardo Trujillo and Perla Juarez-Smith and Youness El Hamzaoui. Modeling the adsorption of phenols and nitrophenols by activated carbon using genetic programming. Journal of Cleaner Production, 161:860-870, 2017. details

  35. Enrique Naredo and Paulo Urbano and Leonardo Trujillo. The training set and generalization in grammatical evolution for autonomous agent navigation. Soft Computing, 21(15):4399-4416, 2017. details

  36. Josue Enriquez-Zarate and Leonardo Trujillo and Salvador de Lara and Mauro Castelli and Emigdio Z-Flores and Luis Munoz and Ales Popovic. Automatic modeling of a gas turbine using genetic programming: An experimental study. Applied Soft Computing, 50:212-222, 2017. details

  37. Mauro Castelli and Leonardo Trujillo and Ivo Goncalves and Ales Popovic. An evolutionary system for the prediction of high performance concrete strength based on semantic genetic programming. Computers and Concrete, 19(6):651-658, 2017. details

  38. 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

  39. Enrique Naredo and Leonardo Trujillo and Pierrick Legrand and Sara Silva and Luis Munoz. Evolving genetic programming classifiers with novelty search. Information Sciences, 369:347-367, 2016. details

  40. 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

  41. Victor R. Lopez-Lopez and Leonardo Trujillo and Pierrick Legrand and Victor H. Diaz-Ramirez and Gustavo Olague. Comparison of Local Feature Extraction Paradigms Applied to Visual SLAM. Computacion y Sistemas, 20(4):565-587, 2016. Thematic Issue: Research Advances and Applications of Evolutionary Computation. details

  42. Mauro Castelli and Leonardo Trujillo and Leonardo Vanneschi and Ales Popovic. Prediction of relative position of CT slices using a computational intelligence system. Applied Soft Computing, 46:537-542, 2016. details

  43. Leonardo Trujillo. Kenneth O. Stanley and Joel Lehman: Why greatness cannot be planned: the myth of the objective. Genetic Programming and Evolvable Machines, 16(4):559-561, 2015. Book review. details

  44. Mario Garcia-Valdez and Leonardo Trujillo and Juan Julian Merelo Guervos and Francisco Fernandez de Vega and Gustavo Olague. The EvoSpace Model for Pool-Based Evolutionary Algorithms. Journal of Grid Computing, 13(3):329-349, 2015. details

  45. Mauro Castelli and Leonardo Trujillo and Leonardo Vanneschi and Ales Popovic. Prediction of energy performance of residential buildings: a genetic programming approach. Energy and Buildings, 102(1):67-74, 2015. details

  46. Mauro Castelli and Leonardo Vanneschi and Leonardo Trujillo. Energy Consumption Forecasting using Semantics Based Genetic Programming with Local Search Optimizer. Computational Intelligence and Neuroscience, 2015 2015. details

  47. Arturo Sotelo and Enrique Guijarro and Leonardo Trujillo and Luis N. Coria and Yuliana Martinez. Identification of epilepsy stages from ECoG using genetic programming classifiers. Computers in Biology and Medicine, 43(11):1713-1723, 2013. details

  48. Francisco Fernandez de Vega and Gustavo Olague and Leonardo Trujillo and Daniel Lombrana Gonzalez. Customizable execution environments for evolutionary computation using BOINC + virtualization. Natural Computing, 12(2):163-177, 2013. details

  49. Leonardo Trujillo and Pierrick Legrand and Gustavo Olague and Jacques Levy-Vehel. Evolving estimators of the pointwise Hoelder exponent with Genetic Programming. Information Sciences, 209:61-79, 2012. details

  50. Gustavo Olague and Leonardo Trujillo. Interest point detection through multiobjective genetic programming. Applied Soft Computing, 12(8):2566-2582, 2012. details

  51. Leonardo Trujillo. Genetic programming with one-point crossover and subtree mutation for effective problem solving and bloat control. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 15(8):1551-1567, 2011. details

  52. Gustavo Olague and Leonardo Trujillo. Evolutionary-computer-assisted design of image operators that detect interest points using genetic programming. Image and Vision Computing, 29(7):484-498, 2011. details

  53. Leonardo Trujillo and Gustavo Olague. Automated Design of Image Operators that Detect Interest Points. Evolutionary Computation, 16(4):483-507, 2008. details

Genetic Programming Conference proceedings edited by Leonardo Trujillo

  1. Stephan Winkler and Leonardo Trujillo and Charles Ofria and Ting Hu editors, Genetic Programming Theory and Practice XX. Michigan State University, USA, Springer, 2023. details

  2. Leonardo Trujillo and Stephan M. Winkler and Sara Silva and Wolfgang Banzhaf editors, Genetic Programming Theory and Practice XIX. East Lansing, USA, Springer, 2022. details

  3. Wolfgang Banzhaf and Leonardo Trujillo and Stephan Winkler and Bill Worzel editors, Genetic Programming Theory and Practice XVIII. East Lansing, USA, Springer, 2021. details

  4. Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII. East Lansing, MI, USA, Springer, 2019. details

  5. 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. Madrid, Spain, 2015. details

Genetic Programming conference papers by Leonardo Trujillo

  1. 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

  2. Omar M. Villanueva and Leonardo Trujillo and Daniel E Hernandez. Novelty Search for Automatic Bug Repair. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 1021-1028, internet, 2020. Association for Computing Machinery. details

  3. Leonardo Vanneschi and Mauro Castelli and Luca Manzoni and Sara Silva and Leonardo Trujillo. Is k Nearest Neighbours Regression Better than GP?. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 244-261, Seville, Spain, 2020. Springer Verlag. details

  4. Enrique Naredo and Conor Ryan and Ivan Guevara and Tiziana Margaria and Paulo Urbano and Leonardo Trujillo. General Controllers Evolved through Grammatical Evolution with a Divergent Search. 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 243-244, internet, 2020. Association for Computing Machinery. details

  5. Uriel Lopez and Leonardo Trujillo and Sara Silva and Leonardo Vanneschi and Pierrick Legrand. Unlabeled Multi-Target Regression with Genetic Programming. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 976-984, internet, 2020. Association for Computing Machinery. details

  6. Leonardo Trujillo and Luis Munoz and Uriel Lopez and Daniel E. Hernandez. Untapped Potential of Genetic Programming: Transfer Learning and Outlier Removal. In Wolfgang Banzhaf and Lee Spector and Leigh Sheneman editors, Genetic Programming Theory and Practice XVI, pages 193-207, Ann Arbor, USA, 2018. Springer. details

  7. Uriel Lopez and Leonardo Trujillo and Pierrick Legrand. Filtering Outliers in One Step with Genetic Programming. In Anne Auger and Carlos M. Fonseca and Nuno Lourenco and Penousal Machado and Luis Paquete and Darrell Whitley editors, 15th International Conference on Parallel Problem Solving from Nature, volume 11101, pages 209-222, Coimbra, Portugal, 2018. Springer. details

  8. Victor R. Lopez-Lopez and Leonardo Trujillo and Pierrick Legrand. Novelty Search for software improvement of a SLAM system. In Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward and Shin Yoo editors, 5th edition of GI @ GECCO 2018, pages 1598-1605, Kyoto, Japan, 2018. ACM. details

  9. Carlos Goribar-Jimenez and Yazmin Maldonado and Leonardo Trujillo and Mauro Castelli and Ivo Goncalves and Leonardo Vanneschi. Towards the development of a complete GP system on an FPGA using geometric semantic operators. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 1932-1939, Donostia, San Sebastian, Spain, 2017. IEEE. details

  10. Uriel Lopez and Leonardo Trujillo and Yuliana Martinez and Pierrick Legrand and Enrique Naredo and Sara Silva. RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic Programming. In Mauro Castelli and James McDermott and Lukas Sekanina editors, EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming, volume 10196, pages 114-130, Amsterdam, 2017. Springer Verlag. details

  11. 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

  12. Mauro Castelli and Luca Manzoni and Ivo Goncalves and Leonardo Vanneschi and Leonardo Trujillo and Sara Silva. An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach. In Proceedings of the 8th International Joint Conference on Computational Intelligence, IJCCI (ECTA) 2016, pages 201-208, 2016. Scitepress. details

  13. Leonardo Trujillo and Emigdio Z-Flores and Perla S. Juarez Smith and Pierrick Legrand and Sara Silva and Mauro Castelli and Leonardo Vanneschi and Oliver Schuetze and Luiz Munoz. Local Search is Underused in Genetic Programming. In William Tozier and Brian W. Goldman and Bill Worzel and Rick Riolo editors, Genetic Programming Theory and Practice XIV, pages 119-137, Ann Arbor, USA, 2016. Springer. details

  14. 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

  15. 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

  16. Victor R. Lopez-Lopez and Leonardo Trujillo and Pierrick Legrand and Gustavo Olague. Genetic Programming: From design to improved implementation. In Justyna Petke and David R. White and Westley Weimer editors, Genetic Improvement 2016 Workshop, pages 1147-1154, Denver, 2016. ACM. details

  17. Perla Juarez-Smith and Leonardo Trujillo. Integrating Local Search within neat-GP. 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 993-996, Denver, Colorado, USA, 2016. ACM. details

  18. Carlos A. Goribar Jimenez and Yazmin Maldonado and Leonardo Trujillo. Random Tree Generator for an FPGA-based Genetic Programming System. In GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 1023-1026, Denver, Colorado, USA, 2016. ACM. details

  19. S. Beretta and M. Castelli and Yuliana Martinez and Luis Munoz and Sara Silva and Leonardo Trujillo and Luciano Milanesi and Ivan Merelli. A Machine Learning Approach for the Integration of miRNA-Target Predictions. In 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), pages 528-534, 2016. details

  20. Emigdio Z-Flores and Leonardo Trujillo and Oliver Schuetze and Pierrick Legrand. A Local Search Approach to Genetic Programming for Binary Classification. 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 1151-1158, Madrid, Spain, 2015. ACM. details

  21. Sara Silva and Luis Munoz and Leonardo Trujillo and Vijay Ingalalli and Mauro Castelli and Leonardo Vanneschi. Multiclass Classification Through Multidimensinoal Clustering. In Rick Riolo and William P. Worzel and M. Kotanchek and A. Kordon editors, Genetic Programming Theory and Practice XIII, pages 219-239, Ann Arbor, USA, 2015. Springer. details

  22. Luis Munoz and Sara Silva and Leonardo Trujillo. M3GP: Multiclass Classification with GP. 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 78-91, Copenhagen, 2015. Springer. details

  23. Carlos Goribar and Yazmin Maldonado and Leonardo Trujillo. Automatic Random Tree Generator on FPGA. In Oliver Schuetze and Leonardo Trujillo and Pierrick Legrand and Yazmin Maldonado editors, NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico, volume 663, pages 89-104, 2015. Springer. details

  24. Mauro Castelli and Leonardo Trujillo and Leonardo Vanneschi and Sara Silva and Emigdio Z-Flores and Pierrick Legrand. Geometric Semantic Genetic Programming with Local Search. 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 999-1006, Madrid, Spain, 2015. ACM. details

  25. J. R. Cardenas Valdez and Emigdio Z-Flores and Jose Cruz Nunez Perez and Leonardo Trujillo. Local Search Approach to Genetic Programming for RF-PAs Modeling Implemented in FPGA. In Oliver Schuetze and Leonardo Trujillo and Pierrick Legrand and Yazmin Maldonado editors, NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico, volume 663, pages 67-88, 2015. Springer. details

  26. Leonardo Trujillo and Luis Munoz and Enrique Naredo and Yuliana Martinez. NEAT, There's No Bloat. 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 174-185, Granada, Spain, 2014. Springer. details

  27. Paulo Urbano and Enrique Naredo and Leonardo Trujillo. Generalization in Maze Navigation Using Grammatical Evolution and Novelty Search. In Adrian Horia Dediu and Manuel Lozano and Carlos Martin-Vide editors, Third International Conference on Theory and Practice of Natural Computing, TPNC 2014, volume 8890, pages 35-46, Granada, Spain, 2014. Springer. details

  28. Emigdio Z-Flores and Leonardo Trujillo and Oliver Schuetze and Pierrick Legrand. Evaluating the Effects of Local Search in Genetic Programming. In Alexandru-Adrian Tantar and Emilia Tantar and Jian-Qiao Sun and Wei Zhang and Qian Ding and Oliver Schuetze and Michael Emmerich and Pierrick Legrand and Pierre Del Moral and Carlos A. Coello Coello editors, EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, volume 288, pages 213-228, Peking, 2014. Springer. details

  29. Yuliana Martinez and Leonardo Trujillo and Enrique Naredo and Pierrick Legrand. A Comparison of Fitness-Case Sampling Methods for Symbolic Regression with Genetic Programming. In Alexandru-Adrian Tantar and Emilia Tantar and Jian-Qiao Sun and Wei Zhang and Qian Ding and Oliver Schuetze and Michael Emmerich and Pierrick Legrand and Pierre Del Moral and Carlos A. Coello Coello editors, EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, volume 288, pages 201-212, Peking, 2014. Springer. details

  30. Enrique Naredo and Leonardo Trujillo and Yuliana Martinez. Searching for Novel Classifiers. In Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors, Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 145-156, Vienna, Austria, 2013. Springer Verlag. details

  31. Leonardo Trujillo and Lee Spector and Enrique Naredo and Yuliana Martinez. A behavior-based analysis of modal problems. 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 1047-1054, Amsterdam, The Netherlands, 2013. ACM. details

  32. Leonardo Trujillo and Enrique Naredo and Yuliana Martinez. Preliminary Study of Bloat in Genetic Programming with Behavior-Based Search. In Michael Emmerich and Andre Deutz and Oliver Schuetze and Thomas Baeck and Emilia Tantar and Alexandru-Adrian and Pierre Del Moral and Pierrick Legrand and Pascal Bouvry and Carlos A. Coello editors, EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV, volume 227, pages 293-305, Leiden, Holland, 2013. Springer. details

  33. Leonardo Trujillo and Mario Garcia-Valdez and Francisco Fernandez-de-Vega and Juan-J. Merelo. Fireworks: Evolutionary art project based on EvoSpace-Interactive. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 2871-2878, Cancun, Mexico, 2013. details

  34. Enrique Naredo and Leonardo Trujillo. Searching for novel clustering programs. 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 1093-1100, Amsterdam, The Netherlands, 2013. ACM. details

  35. 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

  36. 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

  37. 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

  38. Arturo Sotelo and Enrique Guijarro and Leonardo Trujillo and Luis Coria and Yuliana Martinez. Analysis and Classification of Epilepsy Stages with Genetic Programming. 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 57-70, Mexico City, Mexico, 2012. Springer. details

  39. Zoe Sigrist and Guillaume Ferre and Eric Grivel and Leonardo Trujillo. Genetic Programming to Weaken the Effects of Nonlinear Power Amplification in OFDM System. 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, Mexico City, Mexico, 2012. details

  40. Enrique Naredo and Enrique Dunn and Leonardo Trujillo. Disparity Map Estimation by Combining Cost Volume Measures Using Genetic Programming. 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 71-86, Mexico City, Mexico, 2012. Springer. details

  41. 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

  42. 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

  43. Leonardo Trujillo and Sara Silva and Pierrick Legrand and Leonardo Vanneschi. An empirical study of functional complexity as an indicator of overfitting in Genetic Programming. In Sara Silva and James A. Foster and Miguel Nicolau and Mario Giacobini and Penousal Machado editors, Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, volume 6621, pages 262-273, Turin, Italy, 2011. Springer Verlag. details

  44. Leonardo Trujillo and Yuliana Mart\'inez and Patricia Melin. Estimating classifier performance with Genetic Programming. In Sara Silva and James A. Foster and Miguel Nicolau and Mario Giacobini and Penousal Machado editors, Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, volume 6621, pages 274-285, Turin, Italy, 2011. Springer Verlag. details

  45. Leonardo Trujillo and Yuliana Martinez and Patricia Melin. How many neurons?: a genetic programming answer. 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 companion on Genetic and evolutionary computation, pages 175-176, Dublin, Ireland, 2011. ACM. details

  46. 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

  47. Leonardo Trujillo and Pierrick Legrand and Jacques Levy-Vehel. The estimation of h\"olderian regularity using 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 861-868, Portland, Oregon, USA, 2010. ACM. details

  48. Daniel Lombrana Gonzalez and Francisco Fernandez de Vega and Leonardo Trujillo and Gustavo Olague and Lourdes Araujo and Pedro Castillo and Juan Julian Merelo and Ken Sharman. Increasing GP Computing Power for Free via Desktop GRID Computing and Virtualization. In 17th Euromicro International Conference on Parallel, Distributed and Network-based Processing, pages 419-423, Weimar, Germany, 2009. details

  49. Leonardo Trujillo and Gustavo Olague and Evelyne Lutton and Francisco Fernandez de Vega. Multiobjective design of operators that detect points of interest in images. 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 1299-1306, Atlanta, GA, USA, 2008. ACM. details

  50. Daniel Lombrana Gonzalez and Francisco Fernandez de Vega and L. Trujillo and G. Olague and M. Cardenas and L. Araujo and P. Castillo and K. Sharman and A. Silva. Interpreted Applications within BOINC Infrastructure. In Fernando Silva and Gaspar Barreira and Ligia Ribeiro editors, IBERGRID 2nd Iberian Grid Infrastructure Conference Proceedings, pages 261-272, Porto, Portugal, 2008. netbiblo.com. details

  51. Gustavo Olague Caballero and Eva Romero and Leonardo Trujillo and Bir Bhanu. Multiclass Object Recognition based on Texture Linear Genetic Programming. 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 291-300, Valencia, Spain, 2007. Springer Verlag. details

  52. L. Trujillo and G. Olague. Using Evolution to Learn How to Perform Interest Point Detection. In X. Y Tang et al. editor, ICPR 2006 18th International Conference on Pattern Recognition, volume 1, pages 211-214, 2006. IEEE. details

  53. Leonardo Trujillo and Gustavo Olague. Synthesis of interest point detectors through 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 1, pages 887-894, Seattle, Washington, USA, 2006. ACM Press. details

Genetic Programming book chapters by Leonardo Trujillo

Genetic Programming other entries for Leonardo Trujillo