Dynamical modelling of a genetic algorithm

Detalhes bibliográficos
Autor(a) principal: Pires, E. J. Solteiro
Data de Publicação: 2006
Outros Autores: Machado, J. A. Tenreiro, Oliveira, P. B. Moura
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/4661
Resumo: This work addresses the signal propagation and the fractional-order dynamics during the evolution of a genetic algorithm (GA). In order to investigate the phenomena involved in the GA population evolution, the mutation is exposed to excitation perturbations during some generations and the corresponding fitness variations are evaluated. Three distinct fitness functions are used to study their influence in the GA dynamics. The input and output signals are studied revealing a fractional-order dynamic evolution, characteristic of a long-term system memory.
id RCAP_635ab67f6c73be53b7357f747f592c4a
oai_identifier_str oai:recipp.ipp.pt:10400.22/4661
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Dynamical modelling of a genetic algorithmGenetic algorithmSignal processingDynamicFractional-orderThis work addresses the signal propagation and the fractional-order dynamics during the evolution of a genetic algorithm (GA). In order to investigate the phenomena involved in the GA population evolution, the mutation is exposed to excitation perturbations during some generations and the corresponding fitness variations are evaluated. Three distinct fitness functions are used to study their influence in the GA dynamics. The input and output signals are studied revealing a fractional-order dynamic evolution, characteristic of a long-term system memory.ElsevierRepositório Científico do Instituto Politécnico do PortoPires, E. J. SolteiroMachado, J. A. TenreiroOliveira, P. B. Moura2014-07-03T10:40:46Z20062006-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/4661eng0165-168410.1016/j.sigpro.2006.02.019info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:44:43Zoai:recipp.ipp.pt:10400.22/4661Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:25:26.481783Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Dynamical modelling of a genetic algorithm
title Dynamical modelling of a genetic algorithm
spellingShingle Dynamical modelling of a genetic algorithm
Pires, E. J. Solteiro
Genetic algorithm
Signal processing
Dynamic
Fractional-order
title_short Dynamical modelling of a genetic algorithm
title_full Dynamical modelling of a genetic algorithm
title_fullStr Dynamical modelling of a genetic algorithm
title_full_unstemmed Dynamical modelling of a genetic algorithm
title_sort Dynamical modelling of a genetic algorithm
author Pires, E. J. Solteiro
author_facet Pires, E. J. Solteiro
Machado, J. A. Tenreiro
Oliveira, P. B. Moura
author_role author
author2 Machado, J. A. Tenreiro
Oliveira, P. B. Moura
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Pires, E. J. Solteiro
Machado, J. A. Tenreiro
Oliveira, P. B. Moura
dc.subject.por.fl_str_mv Genetic algorithm
Signal processing
Dynamic
Fractional-order
topic Genetic algorithm
Signal processing
Dynamic
Fractional-order
description This work addresses the signal propagation and the fractional-order dynamics during the evolution of a genetic algorithm (GA). In order to investigate the phenomena involved in the GA population evolution, the mutation is exposed to excitation perturbations during some generations and the corresponding fitness variations are evaluated. Three distinct fitness functions are used to study their influence in the GA dynamics. The input and output signals are studied revealing a fractional-order dynamic evolution, characteristic of a long-term system memory.
publishDate 2006
dc.date.none.fl_str_mv 2006
2006-01-01T00:00:00Z
2014-07-03T10:40:46Z
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/10400.22/4661
url http://hdl.handle.net/10400.22/4661
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0165-1684
10.1016/j.sigpro.2006.02.019
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799131347711688704

Registros relacionados