Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective Optimization
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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/10362/117466 |
Resumo: | Funding support for Ana Luisa Custodio and Rohollah Garmanjani was provided by national funds through FCT-FundacAo para a Ciencia e a Tecnologia I. P., under the scope of Projects PTDC/MAT-APL/28400/2017 and UIDB/00297/2020. Support for Elisa Riccietti was provided by TOTAL E&P. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective OptimizationDerivative-free optimization methodsDirectional direct-searchMultiobjective unconstrained optimizationNonconvex smooth optimizationWorst-case complexityControl and OptimizationManagement Science and Operations ResearchApplied MathematicsFunding support for Ana Luisa Custodio and Rohollah Garmanjani was provided by national funds through FCT-FundacAo para a Ciencia e a Tecnologia I. P., under the scope of Projects PTDC/MAT-APL/28400/2017 and UIDB/00297/2020. Support for Elisa Riccietti was provided by TOTAL E&P.Direct Multisearch is a well-established class of algorithms, suited for multiobjective derivative-free optimization. In this work, we analyze the worst-case complexity of this class of methods in its most general formulation for unconstrained optimization. Considering nonconvex smooth functions, we show that to drive a given criticality measure below a specific positive threshold, Direct Multisearch takes at most a number of iterations proportional to the square of the inverse of the threshold, raised to the number of components of the objective function. This number is also proportional to the size of the set of linked sequences between the first unsuccessful iteration and the iteration immediately before the one where the criticality condition is satisfied. We then focus on a particular instance of Direct Multisearch, which considers a more strict criterion for accepting new nondominated points. In this case, we can establish a better worst-case complexity bound, simply proportional to the square of the inverse of the threshold, for driving the same criticality measure below the considered threshold.DM - Departamento de MatemáticaCMA - Centro de Matemática e AplicaçõesRUNCustódio, Ana LuísaDiouane, YoussefGarmanjani, RohollahRiccietti, Elisa2022-03-31T00:31:40Z2021-012021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/117466eng0022-3239PURE: 26922201https://doi.org/10.1007/s10957-020-01781-zinfo: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:RCAAP2024-03-11T05:00:32Zoai:run.unl.pt:10362/117466Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:43:36.882770Repositório 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 |
Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective Optimization |
title |
Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective Optimization |
spellingShingle |
Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective Optimization Custódio, Ana Luísa Derivative-free optimization methods Directional direct-search Multiobjective unconstrained optimization Nonconvex smooth optimization Worst-case complexity Control and Optimization Management Science and Operations Research Applied Mathematics |
title_short |
Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective Optimization |
title_full |
Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective Optimization |
title_fullStr |
Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective Optimization |
title_full_unstemmed |
Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective Optimization |
title_sort |
Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective Optimization |
author |
Custódio, Ana Luísa |
author_facet |
Custódio, Ana Luísa Diouane, Youssef Garmanjani, Rohollah Riccietti, Elisa |
author_role |
author |
author2 |
Diouane, Youssef Garmanjani, Rohollah Riccietti, Elisa |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
DM - Departamento de Matemática CMA - Centro de Matemática e Aplicações RUN |
dc.contributor.author.fl_str_mv |
Custódio, Ana Luísa Diouane, Youssef Garmanjani, Rohollah Riccietti, Elisa |
dc.subject.por.fl_str_mv |
Derivative-free optimization methods Directional direct-search Multiobjective unconstrained optimization Nonconvex smooth optimization Worst-case complexity Control and Optimization Management Science and Operations Research Applied Mathematics |
topic |
Derivative-free optimization methods Directional direct-search Multiobjective unconstrained optimization Nonconvex smooth optimization Worst-case complexity Control and Optimization Management Science and Operations Research Applied Mathematics |
description |
Funding support for Ana Luisa Custodio and Rohollah Garmanjani was provided by national funds through FCT-FundacAo para a Ciencia e a Tecnologia I. P., under the scope of Projects PTDC/MAT-APL/28400/2017 and UIDB/00297/2020. Support for Elisa Riccietti was provided by TOTAL E&P. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01 2021-01-01T00:00:00Z 2022-03-31T00:31:40Z |
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/10362/117466 |
url |
http://hdl.handle.net/10362/117466 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0022-3239 PURE: 26922201 https://doi.org/10.1007/s10957-020-01781-z |
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.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 |
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1799138045379739648 |