Global optimization of bilinear programs with a multiparametric disaggregation technique
Autor(a) principal: | |
---|---|
Data de Publicação: | 2013 |
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/10400.9/2445 |
Resumo: | In this paper, we present the derivation of the multiparametric disaggregation technique (MDT) by Teles et al. (J. Glob. Optim., 2011) for solving nonconvex bilinear programs. Both upper and lower bounding formulations corresponding to mixed-integer linear programs are derived using disjunctive programming and exact linearizations, and incorporated into two global optimization algorithms that are used to solve bilinear programming problems. The relaxation derived using the MDT is shown to scalemuchmore favorably than the relaxation that relies on piecewise McCormick envelopes, yielding smallermixed-integer problems and faster solution times for similar optimality gaps. The proposed relaxation also compares well with general global optimization solvers on large problems. |
id |
RCAP_bf0fb12de3615d78bb2ae63e22cf3e34 |
---|---|
oai_identifier_str |
oai:repositorio.lneg.pt:10400.9/2445 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Global optimization of bilinear programs with a multiparametric disaggregation techniqueMixed-integer linear programmingMixed-integer nonlinear programmingGlobal optimizationQuadratic optimizationDisjunctive programmingIn this paper, we present the derivation of the multiparametric disaggregation technique (MDT) by Teles et al. (J. Glob. Optim., 2011) for solving nonconvex bilinear programs. Both upper and lower bounding formulations corresponding to mixed-integer linear programs are derived using disjunctive programming and exact linearizations, and incorporated into two global optimization algorithms that are used to solve bilinear programming problems. The relaxation derived using the MDT is shown to scalemuchmore favorably than the relaxation that relies on piecewise McCormick envelopes, yielding smallermixed-integer problems and faster solution times for similar optimality gaps. The proposed relaxation also compares well with general global optimization solvers on large problems.SpringerRepositório do LNEGKolodziej, ScottCastro, PedroGrossmann, Ignacio E.2014-04-28T10:11:53Z2013-01-01T00:00:00Z2013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.9/2445engKolodziej, S.; Castro, P.M.; Grossmann, I.E. Global optimization of bilinear programs with a multiparametric disaggregation technique. In: Journal of Global Optimization, 2013, Vol. 57, nº 4, p. 1039-10630925-5001info: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:RCAAP2022-09-06T12:27:28Zoai:repositorio.lneg.pt:10400.9/2445Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:35:20.411006Repositório 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 |
Global optimization of bilinear programs with a multiparametric disaggregation technique |
title |
Global optimization of bilinear programs with a multiparametric disaggregation technique |
spellingShingle |
Global optimization of bilinear programs with a multiparametric disaggregation technique Kolodziej, Scott Mixed-integer linear programming Mixed-integer nonlinear programming Global optimization Quadratic optimization Disjunctive programming |
title_short |
Global optimization of bilinear programs with a multiparametric disaggregation technique |
title_full |
Global optimization of bilinear programs with a multiparametric disaggregation technique |
title_fullStr |
Global optimization of bilinear programs with a multiparametric disaggregation technique |
title_full_unstemmed |
Global optimization of bilinear programs with a multiparametric disaggregation technique |
title_sort |
Global optimization of bilinear programs with a multiparametric disaggregation technique |
author |
Kolodziej, Scott |
author_facet |
Kolodziej, Scott Castro, Pedro Grossmann, Ignacio E. |
author_role |
author |
author2 |
Castro, Pedro Grossmann, Ignacio E. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório do LNEG |
dc.contributor.author.fl_str_mv |
Kolodziej, Scott Castro, Pedro Grossmann, Ignacio E. |
dc.subject.por.fl_str_mv |
Mixed-integer linear programming Mixed-integer nonlinear programming Global optimization Quadratic optimization Disjunctive programming |
topic |
Mixed-integer linear programming Mixed-integer nonlinear programming Global optimization Quadratic optimization Disjunctive programming |
description |
In this paper, we present the derivation of the multiparametric disaggregation technique (MDT) by Teles et al. (J. Glob. Optim., 2011) for solving nonconvex bilinear programs. Both upper and lower bounding formulations corresponding to mixed-integer linear programs are derived using disjunctive programming and exact linearizations, and incorporated into two global optimization algorithms that are used to solve bilinear programming problems. The relaxation derived using the MDT is shown to scalemuchmore favorably than the relaxation that relies on piecewise McCormick envelopes, yielding smallermixed-integer problems and faster solution times for similar optimality gaps. The proposed relaxation also compares well with general global optimization solvers on large problems. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-01-01T00:00:00Z 2013-01-01T00:00:00Z 2014-04-28T10:11:53Z |
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/10400.9/2445 |
url |
http://hdl.handle.net/10400.9/2445 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Kolodziej, S.; Castro, P.M.; Grossmann, I.E. Global optimization of bilinear programs with a multiparametric disaggregation technique. In: Journal of Global Optimization, 2013, Vol. 57, nº 4, p. 1039-1063 0925-5001 |
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.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
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_ |
1799130218738221056 |