Genetic Programming Bibliography entries for Enrique Naredo

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.6712

GP coauthors/coeditors: Muhammad Sarmad Ali, Meghana Kshirsagar, Conor Ryan, Samuel Carvalho, Joe Sullivan, Douglas Mota Dias, Allan Danilo de Lima, Joseph Sullivan, Uriel Lopez, Leonardo Trujillo, Yuliana Martinez, Pierrick Legrand, Sara Silva, Edgar Galvan Lopez, Aidan Murphy, Jorge Luis Machado Do Amaral, Grainne Murphy, Enrique Dunn, Luis Munoz Delgado, Paulo Urbano, Ivan Guevara, Tiziana Margaria, Atif Rafiq, Lee Spector,

Genetic Programming Articles by Enrique Naredo

Genetic Programming PhD doctoral thesis Enrique Naredo

Genetic Programming conference papers by Enrique Naredo

  1. Atif Rafiq and Enrique Naredo and Meghana Kshirsagar and Conor Ryan. On the Effect of Embedding Hierarchy within Multi-Objective Optimization for Evolving Symbolic Regression Models. 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 594-597, Boston, USA, 2022. Association for Computing Machinery. details

  2. Allan de Lima and Samuel Carvalho and Douglas Dias and Enrique Naredo and Joseph Sullivan and Conor Ryan. Lexi2: Lexicase Selection with Lexicographic Parsimony Pressure. In Alma Rahat and Jonathan Fieldsend and Markus Wagner and Sara Tari and Nelishia Pillay and Irene Moser and Aldeida Aleti and Ales Zamuda and Ahmed Kheiri and Erik Hemberg and Christopher Cleghorn and Chao-li Sun and Georgios Yannakakis and Nicolas Bredeche and Gabriela Ochoa and Bilel Derbel and Gisele L. Pappa and Sebastian Risi and Laetitia Jourdan and Hiroyuki Sato and Petr Posik and Ofer Shir and Renato Tinos and John Woodward and Malcolm Heywood and Elizabeth Wanner and Leonardo Trujillo and Domagoj Jakobovic and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Inmaculada Medina-Bulo and Slim Bechikh and Andrew M. Sutton and Pietro Simone Oliveto editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 929-937, Boston, USA, 2022. Association for Computing Machinery. details

  3. Muhammad Sarmad Ali and Meghana Kshirsagar and Enrique Naredo and Conor Ryan. Automated Grammar-based Feature Selection in Symbolic Regression. In Alma Rahat and Jonathan Fieldsend and Markus Wagner and Sara Tari and Nelishia Pillay and Irene Moser and Aldeida Aleti and Ales Zamuda and Ahmed Kheiri and Erik Hemberg and Christopher Cleghorn and Chao-li Sun and Georgios Yannakakis and Nicolas Bredeche and Gabriela Ochoa and Bilel Derbel and Gisele L. Pappa and Sebastian Risi and Laetitia Jourdan and Hiroyuki Sato and Petr Posik and Ofer Shir and Renato Tinos and John Woodward and Malcolm Heywood and Elizabeth Wanner and Leonardo Trujillo and Domagoj Jakobovic and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Inmaculada Medina-Bulo and Slim Bechikh and Andrew M. Sutton and Pietro Simone Oliveto editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 902-910, Boston, USA, 2022. Association for Computing Machinery. details

  4. Muhammad Sarmad Ali and Meghana Kshirsagar and Enrique Naredo and Conor Ryan. Towards Automatic Grammatical Evolution for Real-world Symbolic Regression. In Thomas Baeck and Christian Wagner and Jonathan M. Garibaldi and H. K. Lam and Marie Cottrell and Juan Julian Merelo and Kevin Warwick editors, Proceedings of the 13th International Joint Conference on Computational Intelligence, IJCCI, pages 68-78, Online, 2021. SCITEPRESS. details

  5. Muhammad Sarmad Ali and Meghana Kshirsagar and Enrique Naredo and Conor Ryan. AutoGE: A Tool for Estimation of Grammatical Evolution Models. In Ana Paula Rocha and Luc Steels and H. Jaap van den Herik editors, Proceedings of the 13th International Conference on Agents and Artificial Intelligence, ICAART 2021, volume 2, pages 1274-1281, Online, 2021. SCITEPRESS. details

  6. Aidan Murphy and Grainne Murphy and Jorge Amaral and Douglas Mota Dias and Enrique Naredo and Conor Ryan. Towards incorporating Human Knowledge in Fuzzy Pattern Tree Evolution. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2021: Proceedings of the 24th European Conference on Genetic Programming, volume 12691, pages 66-81, Virtual Event, 2021. Springer Verlag. Best paper. details

  7. Samuel Carvalho and Joe Sullivan and Douglas Dias and Enrique Naredo and Conor Ryan. Using Grammatical Evolution for Modelling Energy Consumption on a Computer Numerical Control Machine. In Silvino Fernandez Alzueta and Thomas Stuetzle and Pablo Valledor editors, 6th Workshop on Industrial Applications of Metaheuristics, pages 1557-1563, internet, 2021. Association for Computing Machinery. details

  8. 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

  9. Aidan Murphy and Muhammad Sarmad Ali and Douglas Mota Dias and Jorge Amaral and Enrique Naredo and Conor Ryan. Grammar-based Fuzzy Pattern Trees for Classification Problems. In Proceedings of the 12th International Joint Conference on Computational Intelligence - ECTA, pages 71-80, Online, 2020. SciTePress. Best Student paper. 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. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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