A distance between populations for one-point crossover in genetic algorithms

Bibliographic Details
Main Author: Manzoni, Luca
Publication Date: 2012
Other Authors: Vanneschi, Leonardo, Mauri, Giancarlo
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/118694
Summary: Manzoni, L., Vanneschi, L., & Mauri, G. (2012). A distance between populations for one-point crossover in genetic algorithms. Theoretical Computer Science, 429, 213-221. https://doi.org/10.1016/j.tcs.2011.12.041
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spelling A distance between populations for one-point crossover in genetic algorithmsTheoretical Computer ScienceComputer Science(all)Manzoni, L., Vanneschi, L., & Mauri, G. (2012). A distance between populations for one-point crossover in genetic algorithms. Theoretical Computer Science, 429, 213-221. https://doi.org/10.1016/j.tcs.2011.12.041Genetic algorithms use transformation operators on the genotypic structures of the individuals to carry out a search. These operators define a neighborhood. To analyze various dynamics of the search process, it is often useful to define a distance in this space. In fact, using an operator-based distance can make the analysis more accurate and reliable than using distances which have no relationship with the genetic operators. In this paper we define a distance which is based on the standard one-point crossover. Given that the population strongly affects the neighborhood induced by the crossover, we first define a crossover-based distance between populations. Successively, we show that it is naturally possible to derive from this function a family of distances between individuals. Finally, we also introduce an algorithm to compute this distance efficiently.NOVA Information Management School (NOVA IMS)RUNManzoni, LucaVanneschi, LeonardoMauri, Giancarlo2021-06-02T00:38:22Z2012-04-202012-04-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article9application/pdfhttp://hdl.handle.net/10362/118694eng0304-3975PURE: 31628166https://doi.org/10.1016/j.tcs.2011.12.041info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:53:36Zoai:run.unl.pt:10362/118694Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:24:49.734739Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A distance between populations for one-point crossover in genetic algorithms
title A distance between populations for one-point crossover in genetic algorithms
spellingShingle A distance between populations for one-point crossover in genetic algorithms
Manzoni, Luca
Theoretical Computer Science
Computer Science(all)
title_short A distance between populations for one-point crossover in genetic algorithms
title_full A distance between populations for one-point crossover in genetic algorithms
title_fullStr A distance between populations for one-point crossover in genetic algorithms
title_full_unstemmed A distance between populations for one-point crossover in genetic algorithms
title_sort A distance between populations for one-point crossover in genetic algorithms
author Manzoni, Luca
author_facet Manzoni, Luca
Vanneschi, Leonardo
Mauri, Giancarlo
author_role author
author2 Vanneschi, Leonardo
Mauri, Giancarlo
author2_role author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Manzoni, Luca
Vanneschi, Leonardo
Mauri, Giancarlo
dc.subject.por.fl_str_mv Theoretical Computer Science
Computer Science(all)
topic Theoretical Computer Science
Computer Science(all)
description Manzoni, L., Vanneschi, L., & Mauri, G. (2012). A distance between populations for one-point crossover in genetic algorithms. Theoretical Computer Science, 429, 213-221. https://doi.org/10.1016/j.tcs.2011.12.041
publishDate 2012
dc.date.none.fl_str_mv 2012-04-20
2012-04-20T00:00:00Z
2021-06-02T00:38:22Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/118694
url http://hdl.handle.net/10362/118694
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0304-3975
PURE: 31628166
https://doi.org/10.1016/j.tcs.2011.12.041
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 9
application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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