Evolution strategies in optimization problems

Detalhes bibliográficos
Autor(a) principal: Cruz, P.A.F.
Data de Publicação: 2007
Outros Autores: Torres, D.F.M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/4123
Resumo: Evolution strategies are inspired in biology and form part of a larger research field known as evolutionary algorithms. Those strategies perform a random search in the space of admissible functions, aiming to optimize some given objective function. We show that simple evolution strategies are a useful tool in optimal control, permitting one to obtain, in an efficient way, good approximations to the solutions of some recent and challenging optimal control problems.
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spelling Evolution strategies in optimization problemsDiscretizationEvolution strategiesMonte Carlo methodOptimal controlRandom searchEvolution strategies are inspired in biology and form part of a larger research field known as evolutionary algorithms. Those strategies perform a random search in the space of admissible functions, aiming to optimize some given objective function. We show that simple evolution strategies are a useful tool in optimal control, permitting one to obtain, in an efficient way, good approximations to the solutions of some recent and challenging optimal control problems.Estonian Academy Publishers2011-10-11T15:07:17Z2007-01-01T00:00:00Z2007info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/4123eng1406-0086Cruz, P.A.F.Torres, D.F.M.info: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:RCAAP2024-02-22T11:04:21Zoai:ria.ua.pt:10773/4123Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:42:10.170969Repositório 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 Evolution strategies in optimization problems
title Evolution strategies in optimization problems
spellingShingle Evolution strategies in optimization problems
Cruz, P.A.F.
Discretization
Evolution strategies
Monte Carlo method
Optimal control
Random search
title_short Evolution strategies in optimization problems
title_full Evolution strategies in optimization problems
title_fullStr Evolution strategies in optimization problems
title_full_unstemmed Evolution strategies in optimization problems
title_sort Evolution strategies in optimization problems
author Cruz, P.A.F.
author_facet Cruz, P.A.F.
Torres, D.F.M.
author_role author
author2 Torres, D.F.M.
author2_role author
dc.contributor.author.fl_str_mv Cruz, P.A.F.
Torres, D.F.M.
dc.subject.por.fl_str_mv Discretization
Evolution strategies
Monte Carlo method
Optimal control
Random search
topic Discretization
Evolution strategies
Monte Carlo method
Optimal control
Random search
description Evolution strategies are inspired in biology and form part of a larger research field known as evolutionary algorithms. Those strategies perform a random search in the space of admissible functions, aiming to optimize some given objective function. We show that simple evolution strategies are a useful tool in optimal control, permitting one to obtain, in an efficient way, good approximations to the solutions of some recent and challenging optimal control problems.
publishDate 2007
dc.date.none.fl_str_mv 2007-01-01T00:00:00Z
2007
2011-10-11T15:07:17Z
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/10773/4123
url http://hdl.handle.net/10773/4123
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1406-0086
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 Estonian Academy Publishers
publisher.none.fl_str_mv Estonian Academy Publishers
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
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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
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