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Reduction method with simulated annealing for semi-infinite programming

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Resumo:Semi-infinite programming (SIP) problems are characterized by a finite number of variables and an infinite number of constraints. The class of the reduction methods is based on the idea that, under certain conditions, it is possible to replace the infinite constraints by a finite set of constraints, that are locally sufficient to define the feasible region of the SIP problem. We propose a new reduction method based on a simulated annealing algorithm for multi-local optimization and the penalty method for solving the finite problem.
Autores principais:Pereira, Ana I.
Outros Autores:Fernandes, Edite M.G.P.
Assunto:Semi-infinite programming Nonlinear optimization
Ano:2004
País:Portugal
Tipo de documento:póster em conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
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author Pereira, Ana I.
author2 Fernandes, Edite M.G.P.
author2_role author
author_facet Pereira, Ana I.
Fernandes, Edite M.G.P.
author_role author
contributor_name_str_mv Biblioteca Digital do IPB
country_str PT
creators_json_txt [{\"Person.name\":\"Pereira, Ana I.\",\"Person.identifier.orcid\":\"0000-0003-3803-2043\"},{\"Person.name\":\"Fernandes, Edite M.G.P.\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Pereira, Ana I.
Fernandes, Edite M.G.P.
datacite.date.Accepted.fl_str_mv 2004-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2011-06-01T11:28:27Z
datacite.date.embargoed.fl_str_mv 2011-06-01T11:28:27Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Semi-infinite programming
Nonlinear optimization
datacite.titles.title.fl_str_mv Reduction method with simulated annealing for semi-infinite programming
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Pereira, Ana I.
Fernandes, Edite M.G.P.
dc.date.Accepted.fl_str_mv 2004-01-01T00:00:00Z
dc.date.available.fl_str_mv 2011-06-01T11:28:27Z
dc.date.embargoed.fl_str_mv 2011-06-01T11:28:27Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/4854
dc.language.none.fl_str_mv eng
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Semi-infinite programming
Nonlinear optimization
dc.title.fl_str_mv Reduction method with simulated annealing for semi-infinite programming
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6670
description Semi-infinite programming (SIP) problems are characterized by a finite number of variables and an infinite number of constraints. The class of the reduction methods is based on the idea that, under certain conditions, it is possible to replace the infinite constraints by a finite set of constraints, that are locally sufficient to define the feasible region of the SIP problem. We propose a new reduction method based on a simulated annealing algorithm for multi-local optimization and the penalty method for solving the finite problem.
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eu_rights_str_mv openAccess
format conferencePoster
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language eng
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oai_identifier_str oai:bibliotecadigital.ipb.pt:10198/4854
organization_str_mv urn:organizationAcronym:ipb
person_str_mv Pereira, Ana I.
Pereira, Ana I.
https://www.ciencia-id.pt/0716-B7C2-93E4
0716-B7C2-93E4
http://orcid.org/0000-0003-3803-2043
0000-0003-3803-2043
Fernandes, Edite M.G.P.
publishDate 2004
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spelling engporSemi-infinite programming (SIP) problems are characterized by a finite number of variables and an infinite number of constraints. The class of the reduction methods is based on the idea that, under certain conditions, it is possible to replace the infinite constraints by a finite set of constraints, that are locally sufficient to define the feasible region of the SIP problem. We propose a new reduction method based on a simulated annealing algorithm for multi-local optimization and the penalty method for solving the finite problem.application/pdfporReduction method with simulated annealing for semi-infinite programmingPersonalPereira, Ana I.DSpacehttp://dspace.org/items/e9981d62-2a2b-4fef-b75e-c2a14b0e7846DSpacehttp://dspace.org/items/e9981d62-2a2b-4fef-b75e-c2a14b0e7846PereiraAna I.Ciência IDhttps://www.ciencia-id.pt0716-B7C2-93E4ORCIDhttp://orcid.org0000-0003-3803-2043Researcher IDhttps://www.researcherid.comF-3168-2010Scopus Author IDhttps://www.scopus.com15071961600Fernandes, Edite M.G.P.HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.pt2011-06-01T11:28:27Z20042004-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/4854http://purl.org/coar/access_right/c_abf2open accessSemi-infinite programmingNonlinear optimization66033 bytesother research producthttp://purl.org/coar/resource_type/c_6670conference posterhttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/3a9fcee5-1ae3-4283-bee2-7c2ad44a4028/download12th French-German-Spanish Conference on OptimizationAvignon - France
spellingShingle Reduction method with simulated annealing for semi-infinite programming
Pereira, Ana I.
Semi-infinite programming
Nonlinear optimization
status SINGLETON
subject.fl_str_mv Semi-infinite programming
Nonlinear optimization
title Reduction method with simulated annealing for semi-infinite programming
title_full Reduction method with simulated annealing for semi-infinite programming
title_fullStr Reduction method with simulated annealing for semi-infinite programming
title_full_unstemmed Reduction method with simulated annealing for semi-infinite programming
title_short Reduction method with simulated annealing for semi-infinite programming
title_sort Reduction method with simulated annealing for semi-infinite programming
topic Semi-infinite programming
Nonlinear optimization
topic_facet Semi-infinite programming
Nonlinear optimization
url http://hdl.handle.net/10198/4854
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