Reduction method with simulated annealing for semi-infinite programming

Bibliographic Details
Main Author: Pereira, Ana I.
Publication Date: 2004
Other Authors: Fernandes, Edite M.G.P.
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10198/4854
Summary: 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.
id RCAP_7e02cd4cd8f68419a3bc52fce98305ea
oai_identifier_str oai:bibliotecadigital.ipb.pt:10198/4854
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Reduction method with simulated annealing for semi-infinite programmingSemi-infinite programmingNonlinear optimizationSemi-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.Biblioteca Digital do IPBPereira, Ana I.Fernandes, Edite M.G.P.2011-06-01T11:28:27Z20042004-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/4854engPereira, Ana I.; Fernandes, Edite M.G.P. (2004). Reduction method with simulated annealing for semi-infinite programming. In 12th French-German-Spanish Conference on Optimization. Avignon - France.info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T11:58:04Zoai:bibliotecadigital.ipb.pt:10198/4854Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:21:00.551404Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Reduction method with simulated annealing for semi-infinite programming
title Reduction method with simulated annealing for semi-infinite programming
spellingShingle Reduction method with simulated annealing for semi-infinite programming
Pereira, Ana I.
Semi-infinite programming
Nonlinear optimization
title_short 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_sort Reduction method with simulated annealing for semi-infinite programming
author Pereira, Ana I.
author_facet Pereira, Ana I.
Fernandes, Edite M.G.P.
author_role author
author2 Fernandes, Edite M.G.P.
author2_role author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Pereira, Ana I.
Fernandes, Edite M.G.P.
dc.subject.por.fl_str_mv Semi-infinite programming
Nonlinear optimization
topic Semi-infinite programming
Nonlinear optimization
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.
publishDate 2004
dc.date.none.fl_str_mv 2004
2004-01-01T00:00:00Z
2011-06-01T11:28:27Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/4854
url http://hdl.handle.net/10198/4854
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Pereira, Ana I.; Fernandes, Edite M.G.P. (2004). Reduction method with simulated annealing for semi-infinite programming. In 12th French-German-Spanish Conference on Optimization. Avignon - France.
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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833591829185953792

Similar Items