Genetic Programming Bibliography entries for Daniel Eduardo Hernandez Morales
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Created by W.Langdon from
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GP coauthors/coeditors:
Luis A Cardenas Florido,
Leonardo Trujillo,
Jose Manuel Munoz Contreras,
Gustavo Olague,
Eddie Helbert Clemente Torres,
Mariana Chan-Ley,
Aaron Barrera,
Sambit Bakshi,
Luis Munoz Delgado,
Uriel Lopez,
Omar Manuel Villanueva Contreras,
Mauro Castelli,
Juan Jose Tapia Armenta,
Yazmin Maldonado Robles,
Jose Manuel Munoz,
Cristian Sandoval,
Juan Flores-R,
Luis Gonzalez,
Genetic Programming Articles by Daniel Eduardo Hernandez Morales
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Jose Manuel Munoz Contreras and Leonardo Trujillo and Daniel E. Hernandez and Luis A. Cardenas Florido.
Benchmarking GSGP: Still competitive 10 years later?.
Genetic Programming and Evolvable Machines, 26:Article no 6, 2025.
Online first.
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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.
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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.
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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.
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Gustavo Olague and Eddie Clemente and Daniel E. Hernandez and Aaron Barrera and Mariana Chan-Ley and Sambit Bakshi.
Artificial Visual Cortex and Random Search for Object Categorization.
IEEE Access, 7:54054-54072, 2019.
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Gustavo Olague and Daniel E. Hernandez and Eddie Clemente and Mariana Chan-Ley.
Evolving Head Tracking Routines With Brain Programming.
IEEE Access, 6:26254-26270, 2018.
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Genetic Programming conference papers by Daniel Eduardo Hernandez Morales
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Leonardo Trujillo and Yazmin Maldonado and Jose Manuel Munoz and Cristian Sandoval and Juan Flores-R and Daniel E. Hernandez and Luis Gonzalez.
Heeding Good Advice: Scaling Down and Specializing in the Age of Big AI. In
Bogdan Burlacu and Fabricio Olivetti de Franca and Alexander Lalejini and Stephen Kelly and Wolfgang Banzhaf editors,
Genetic Programming Theory and Practice XXII, pages 405-427, Michigan State University, USA, 2025. Springer.
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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.
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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.
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Genetic Programming other entries for Daniel Eduardo Hernandez Morales