Genetic Programming Bibliography entries for Josefa Diaz Alvarez
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Created by W.Langdon from
gp-bibliography.bib Revision:1.8679
GP coauthors/coeditors:
Francisco Chavez de la O,
Francisco Fernandez de Vega,
Jose Antonio Garcia Munoz,
Francisco Javier Rodriguez Diaz,
Pedro A Castillo Valdivieso,
J Manuel Colmenar,
Jose L Risco-Martin,
J Lanchares,
Oscar Garnica,
Jorge Alvarado,
Maria-Isabel Garcia-Arenas,
Juan Julian Merelo,
Carlos Cotta,
Jose Ignacio Hidalgo Perez,
Genetic Programming Articles by Josefa Diaz Alvarez
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Josefa Diaz-Alvarez and Pedro A Castillo and Francisco Fernandez de Vega and Francisco Chavez and Jorge Alvarado.
Population size influence on the energy consumption of genetic programming.
Measurement and Control, 55(1-2):102-115, 2022.
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Josefa Diaz Alvarez and Franciso Chavez de la O and Pedro A. Castillo and Juan Angel Garcia and Francisco J. Rodriguez and Francisco Fernandez de Vega.
A Fuzzy Rule-Based System to Predict Energy Consumption of Genetic Programming Algorithms.
Computer Science and Information Systems, 15(3):235-254, 2018.
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Josefa Diaz Alvarez and Jose L. Risco-Martin and J. Manuel Colmenar.
Evolutionary design of the memory subsystem.
Applied Soft Computing, 62:1088-1101, 2018.
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Josefa Diaz Alvarez and J. Manuel Colmenar and Jose L. Risco-Martin and Juan Lanchares and Oscar Garnica.
Optimizing L1 cache for embedded systems through grammatical evolution.
Soft Computing, 20(6):2451-2465, 2016.
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Jose L. Risco-Martin and J. Manuel Colmenar and J. Ignacio Hidalgo and Juan Lanchares and Josefa Diaz.
A methodology to automatically optimize dynamic memory managers applying grammatical evolution.
Journal of Systems and Software, 91:109-123, 2014.
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Genetic Programming conference papers by Josefa Diaz Alvarez
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Josefa Diaz-Alvarez and Maribel G. Arenas and Pedro A. Castillo and Francisco Fernandez de Vega and Francisco Chavez and Jorge Alvarado.
Population size influence on the energy consumption of Genetic Programming. In
Antonio M. Mora and Anna I. Esparcia-Alcazar editors,
Evostar 2023 Late breaking abstracts, pages 26-29, Brno, 2023.
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F. Chavez and F. Fdez de Vega and J. Diaz and J. A. Garcia and F. J. Rodriguez and P. A. Castillo.
Energy-consumption prediction of genetic programming algorithms using a fuzzy rule-based system. In
Carlos Cotta and Tapabrata Ray and Hisao Ishibuchi and Shigeru Obayashi and Bogdan Filipic and Thomas Bartz-Beielstein and Grant Dick and Masaharu Munetomo and Silvino Fernandez Alzueta and Thomas Stuetzle and Pablo Valledor Pellicer and Manuel Lopez-Ibanez and Daniel R. Tauritz and Pietro S. Oliveto and Thomas Weise and Borys Wrobel and Ales Zamuda and Anne Auger and Julien Bect and Dimo Brockhoff and Nikolaus Hansen and Rodolphe Le Riche and Victor Picheny and Bilel Derbel and Ke Li and Hui Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Stephane Doncieux and Richard Duro and Joshua Auerbach and Harold de Vladar and Antonio J. Fernandez-Leiva and JJ Merelo and Pedro A. Castillo-Valdivieso and David Camacho-Fernandez and Francisco Chavez de la O and Ozgur Akman and Khulood Alyahya and Juergen Branke and Kevin Doherty and Jonathan Fieldsend and Giuseppe Carlo Marano and Nikos D. Lagaros and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Boris Naujoks and Vanessa Volz and Tea Tusar and Pascal Kerschke and Riyad Alshammari and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward and Shin Yoo and John McCall and Nayat Sanchez-Pi and Luis Marti and Danilo Vasconcellos and Masaya Nakata and Anthony Stein and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino and Umberto Scafuri and P. G. M. Baltus and Giovanni Iacca and Ahmed Hallawa and Anil Yaman and Alma Rahat and Handing Wang and Yaochu Jin and David Walker and Richard Everson and Akira Oyama and Koji Shimoyama and Hemant Kumar and Kazuhisa Chiba and Pramudita Satria Palar editors,
GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 9-10, Kyoto, Japan, 2018. ACM.
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F. Fernandez de Vega and F. Chavez and J. Diaz and J. A. Garcia and P. A. Castillo and Juan J. Merelo and C. Cotta.
A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms Towards Energy-Aware Bioinspired Algorithms. 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, Edinburgh, 2016. Springer.
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