The automated design of probabilistic selection methods for evolutionary algorithms
Created by W.Langdon from
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- @InProceedings{Richter:2018:GECCOcomp,
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author = "Samuel N. Richter and Daniel R. Tauritz",
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title = "The automated design of probabilistic selection
methods for evolutionary algorithms",
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booktitle = "GECCO '18: Proceedings of the Genetic and Evolutionary
Computation Conference Companion",
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year = "2018",
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editor = "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",
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pages = "1545--1552",
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address = "Kyoto, Japan",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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month = "15-19 " # jul,
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organisation = "SIGEVO",
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keywords = "genetic algorithms, genetic programming, Selection,
Hyper-heuristic",
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isbn13 = "978-1-4503-5764-7",
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URL = "https://scholarsmine.mst.edu/cgi/viewcontent.cgi?article=1576&context=comsci_facwork",
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DOI = "doi:10.1145/3205651.3208304",
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size = "8 pages",
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abstract = "Selection functions enable Evolutionary Algorithms
(EAs) to apply selection pressure to a population of
individuals, by regulating the probability that an
individuals genes survive, typically based on fitness.
Various conventional fitness based selection methods
exist, each providing a unique relationship between the
fitnesses of individuals in a population and their
chances of selection. However, the full space of
selection algorithms is only limited by max algorithm
size, and each possible selection algorithm is optimal
for some EA configuration applied to a particular
problem class. Therefore, improved performance may be
expected by tuning an EA selection algorithm to the
problem at hand, rather than employing a conventional
selection method. The objective of this paper is to
investigate the extent to which performance can be
improved by tuning selection algorithms, employing a
Hyper- heuristic to explore the space of search
algorithms which encode the relationships between the
fitnesses of individuals and their probability of
selection. We show the improved performance obtained
versus conventional selection functions on fixed
instances from a benchmark problem class, including
separate testing instances to show generalization of
the improved performance",
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notes = "Also known as \cite{3208304} GECCO-2018 A
Recombination of the 27th International Conference on
Genetic Algorithms (ICGA-2018) and the 23rd Annual
Genetic Programming Conference (GP-2018)",
- }
Genetic Programming entries for
Samuel N Richter
Daniel R Tauritz
Citations