MOTGA: A multiobjective Tchebycheff based genetic algorithm for the multidimensional knapsack problem

Detalhes bibliográficos
Autor(a) principal: Alves, Maria João
Data de Publicação: 2007
Outros Autores: Almeida, Marla
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/5482
https://doi.org/10.1016/j.cor.2006.02.008
Resumo: This paper presents a new multiobjective genetic algorithm based on the Tchebycheff scalarizing function, which aims to generate a good approximation of the nondominated solution set of the multiobjective problem. The algorithm performs several stages, each one intended for searching potentially nondominated solutions in a different part of the Pareto front. Pre-defined weight vectors act as pivots to define the weighted-Tchebycheff scalarizing functions used in each stage. Therefore, each stage focuses the search on a specific region, leading to an iterative approximation of the entire nondominated set.
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spelling MOTGA: A multiobjective Tchebycheff based genetic algorithm for the multidimensional knapsack problemGenetic algorithmsMultiple objective programmingKnapsack problemThis paper presents a new multiobjective genetic algorithm based on the Tchebycheff scalarizing function, which aims to generate a good approximation of the nondominated solution set of the multiobjective problem. The algorithm performs several stages, each one intended for searching potentially nondominated solutions in a different part of the Pareto front. Pre-defined weight vectors act as pivots to define the weighted-Tchebycheff scalarizing functions used in each stage. Therefore, each stage focuses the search on a specific region, leading to an iterative approximation of the entire nondominated set.http://www.sciencedirect.com/science/article/B6VC5-4JHMS76-3/1/3ecf973fae987229df46569c9f5630652007info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleaplication/PDFhttp://hdl.handle.net/10316/5482http://hdl.handle.net/10316/5482https://doi.org/10.1016/j.cor.2006.02.008engComputers & Operations Research. 34:11 (2007) 3458-3470Alves, Maria JoãoAlmeida, Marlainfo: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:RCAAP2020-11-06T16:48:55Zoai:estudogeral.uc.pt:10316/5482Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:45:39.390831Repositório 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 MOTGA: A multiobjective Tchebycheff based genetic algorithm for the multidimensional knapsack problem
title MOTGA: A multiobjective Tchebycheff based genetic algorithm for the multidimensional knapsack problem
spellingShingle MOTGA: A multiobjective Tchebycheff based genetic algorithm for the multidimensional knapsack problem
Alves, Maria João
Genetic algorithms
Multiple objective programming
Knapsack problem
title_short MOTGA: A multiobjective Tchebycheff based genetic algorithm for the multidimensional knapsack problem
title_full MOTGA: A multiobjective Tchebycheff based genetic algorithm for the multidimensional knapsack problem
title_fullStr MOTGA: A multiobjective Tchebycheff based genetic algorithm for the multidimensional knapsack problem
title_full_unstemmed MOTGA: A multiobjective Tchebycheff based genetic algorithm for the multidimensional knapsack problem
title_sort MOTGA: A multiobjective Tchebycheff based genetic algorithm for the multidimensional knapsack problem
author Alves, Maria João
author_facet Alves, Maria João
Almeida, Marla
author_role author
author2 Almeida, Marla
author2_role author
dc.contributor.author.fl_str_mv Alves, Maria João
Almeida, Marla
dc.subject.por.fl_str_mv Genetic algorithms
Multiple objective programming
Knapsack problem
topic Genetic algorithms
Multiple objective programming
Knapsack problem
description This paper presents a new multiobjective genetic algorithm based on the Tchebycheff scalarizing function, which aims to generate a good approximation of the nondominated solution set of the multiobjective problem. The algorithm performs several stages, each one intended for searching potentially nondominated solutions in a different part of the Pareto front. Pre-defined weight vectors act as pivots to define the weighted-Tchebycheff scalarizing functions used in each stage. Therefore, each stage focuses the search on a specific region, leading to an iterative approximation of the entire nondominated set.
publishDate 2007
dc.date.none.fl_str_mv 2007
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/10316/5482
http://hdl.handle.net/10316/5482
https://doi.org/10.1016/j.cor.2006.02.008
url http://hdl.handle.net/10316/5482
https://doi.org/10.1016/j.cor.2006.02.008
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Computers & Operations Research. 34:11 (2007) 3458-3470
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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