Multi-objective optimization of structures topology by genetic algorithms
Autor(a) principal: | |
---|---|
Data de Publicação: | 2005 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.21/8962 |
Resumo: | This work develops a computational model for topology optimization of linear elastic structures for situations where more than one objective function is required, each one of them with a different optimal solution. The method is thus developed for multi-objective optimization problems and is based on Genetic Algorithms. Its purpose is to evolve an evenly distributed group of solutions (population) to obtain the optimum Pareto set for the given problem. To reduce computational effort, optimal solutions of each of the single-objective problems are introduced in the initial population. Two numerical examples are presented and discussed to assess the method. |
id |
RCAP_7f58b0ba980f5daac2abbb3ba47e2f33 |
---|---|
oai_identifier_str |
oai:repositorio.ipl.pt:10400.21/8962 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Multi-objective optimization of structures topology by genetic algorithmsStructural topology designMulti-objective optimizationGenetic algorithmEvolutionary algorithmsThis work develops a computational model for topology optimization of linear elastic structures for situations where more than one objective function is required, each one of them with a different optimal solution. The method is thus developed for multi-objective optimization problems and is based on Genetic Algorithms. Its purpose is to evolve an evenly distributed group of solutions (population) to obtain the optimum Pareto set for the given problem. To reduce computational effort, optimal solutions of each of the single-objective problems are introduced in the initial population. Two numerical examples are presented and discussed to assess the method.ElsevierRCIPLMadeira, JFARodrigues, H.Pina, Heitor2018-10-23T13:45:49Z2005-012005-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/8962engMADEIRA, J. F. Aguilar; RODRIGUES, H.; PINA, HEITOR – Multi-objective optimization of structures topology by genetic algorithms. Advances in Engineering Software. ISSN 0965-9978. Vol. 36, N.º 1, (2005), pp. 21-280965-9978https://doi.org/10.1016/j.advengsoft.2003.07.001metadata only accessinfo: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:RCAAP2023-08-03T09:57:03Zoai:repositorio.ipl.pt:10400.21/8962Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:17:38.088385Repositório 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 |
Multi-objective optimization of structures topology by genetic algorithms |
title |
Multi-objective optimization of structures topology by genetic algorithms |
spellingShingle |
Multi-objective optimization of structures topology by genetic algorithms Madeira, JFA Structural topology design Multi-objective optimization Genetic algorithm Evolutionary algorithms |
title_short |
Multi-objective optimization of structures topology by genetic algorithms |
title_full |
Multi-objective optimization of structures topology by genetic algorithms |
title_fullStr |
Multi-objective optimization of structures topology by genetic algorithms |
title_full_unstemmed |
Multi-objective optimization of structures topology by genetic algorithms |
title_sort |
Multi-objective optimization of structures topology by genetic algorithms |
author |
Madeira, JFA |
author_facet |
Madeira, JFA Rodrigues, H. Pina, Heitor |
author_role |
author |
author2 |
Rodrigues, H. Pina, Heitor |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Madeira, JFA Rodrigues, H. Pina, Heitor |
dc.subject.por.fl_str_mv |
Structural topology design Multi-objective optimization Genetic algorithm Evolutionary algorithms |
topic |
Structural topology design Multi-objective optimization Genetic algorithm Evolutionary algorithms |
description |
This work develops a computational model for topology optimization of linear elastic structures for situations where more than one objective function is required, each one of them with a different optimal solution. The method is thus developed for multi-objective optimization problems and is based on Genetic Algorithms. Its purpose is to evolve an evenly distributed group of solutions (population) to obtain the optimum Pareto set for the given problem. To reduce computational effort, optimal solutions of each of the single-objective problems are introduced in the initial population. Two numerical examples are presented and discussed to assess the method. |
publishDate |
2005 |
dc.date.none.fl_str_mv |
2005-01 2005-01-01T00:00:00Z 2018-10-23T13:45:49Z |
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/10400.21/8962 |
url |
http://hdl.handle.net/10400.21/8962 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
MADEIRA, J. F. Aguilar; RODRIGUES, H.; PINA, HEITOR – Multi-objective optimization of structures topology by genetic algorithms. Advances in Engineering Software. ISSN 0965-9978. Vol. 36, N.º 1, (2005), pp. 21-28 0965-9978 https://doi.org/10.1016/j.advengsoft.2003.07.001 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
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_ |
1799133438715887616 |