A NONLINEAR FEASIBILITY PROBLEM HEURISTIC

Detalhes bibliográficos
Autor(a) principal: Ventura,Sergio Drumond
Data de Publicação: 2015
Outros Autores: Delgado,Angel Ramon Sanchez, Gonzaga,Clóvis Caesar
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382015000100107
Resumo: In this work we consider a region S ⊂ given by a finite number of nonlinear smooth convex inequalities and having nonempty interior. We assume a point x 0 is given, which is close in certain norm to the analytic center of S, and that a new nonlinear smooth convex inequality is added to those defining S (perturbed region). It is constructively shown how to obtain a shift of the right-hand side of this inequality such that the point x 0 is still close (in the same norm) to the analytic center of this shifted region. Starting from this point and using the theoretical results shown, we develop a heuristic that allows us to obtain the approximate analytic center of the perturbed region. Then, we present a procedure to solve the problem of nonlinear feasibility. The procedure was implemented and we performed some numerical tests for the quadratic (random) case.
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spelling A NONLINEAR FEASIBILITY PROBLEM HEURISTICinterior pointanalytic centerconvex optimizationIn this work we consider a region S ⊂ given by a finite number of nonlinear smooth convex inequalities and having nonempty interior. We assume a point x 0 is given, which is close in certain norm to the analytic center of S, and that a new nonlinear smooth convex inequality is added to those defining S (perturbed region). It is constructively shown how to obtain a shift of the right-hand side of this inequality such that the point x 0 is still close (in the same norm) to the analytic center of this shifted region. Starting from this point and using the theoretical results shown, we develop a heuristic that allows us to obtain the approximate analytic center of the perturbed region. Then, we present a procedure to solve the problem of nonlinear feasibility. The procedure was implemented and we performed some numerical tests for the quadratic (random) case.Sociedade Brasileira de Pesquisa Operacional2015-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382015000100107Pesquisa Operacional v.35 n.1 2015reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/0101-7438.2015.035.01.0107info:eu-repo/semantics/openAccessVentura,Sergio DrumondDelgado,Angel Ramon SanchezGonzaga,Clóvis Caesareng2015-05-19T00:00:00Zoai:scielo:S0101-74382015000100107Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2015-05-19T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv A NONLINEAR FEASIBILITY PROBLEM HEURISTIC
title A NONLINEAR FEASIBILITY PROBLEM HEURISTIC
spellingShingle A NONLINEAR FEASIBILITY PROBLEM HEURISTIC
Ventura,Sergio Drumond
interior point
analytic center
convex optimization
title_short A NONLINEAR FEASIBILITY PROBLEM HEURISTIC
title_full A NONLINEAR FEASIBILITY PROBLEM HEURISTIC
title_fullStr A NONLINEAR FEASIBILITY PROBLEM HEURISTIC
title_full_unstemmed A NONLINEAR FEASIBILITY PROBLEM HEURISTIC
title_sort A NONLINEAR FEASIBILITY PROBLEM HEURISTIC
author Ventura,Sergio Drumond
author_facet Ventura,Sergio Drumond
Delgado,Angel Ramon Sanchez
Gonzaga,Clóvis Caesar
author_role author
author2 Delgado,Angel Ramon Sanchez
Gonzaga,Clóvis Caesar
author2_role author
author
dc.contributor.author.fl_str_mv Ventura,Sergio Drumond
Delgado,Angel Ramon Sanchez
Gonzaga,Clóvis Caesar
dc.subject.por.fl_str_mv interior point
analytic center
convex optimization
topic interior point
analytic center
convex optimization
description In this work we consider a region S ⊂ given by a finite number of nonlinear smooth convex inequalities and having nonempty interior. We assume a point x 0 is given, which is close in certain norm to the analytic center of S, and that a new nonlinear smooth convex inequality is added to those defining S (perturbed region). It is constructively shown how to obtain a shift of the right-hand side of this inequality such that the point x 0 is still close (in the same norm) to the analytic center of this shifted region. Starting from this point and using the theoretical results shown, we develop a heuristic that allows us to obtain the approximate analytic center of the perturbed region. Then, we present a procedure to solve the problem of nonlinear feasibility. The procedure was implemented and we performed some numerical tests for the quadratic (random) case.
publishDate 2015
dc.date.none.fl_str_mv 2015-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382015000100107
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382015000100107
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0101-7438.2015.035.01.0107
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
dc.source.none.fl_str_mv Pesquisa Operacional v.35 n.1 2015
reponame:Pesquisa operacional (Online)
instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
instname_str Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron_str SOBRAPO
institution SOBRAPO
reponame_str Pesquisa operacional (Online)
collection Pesquisa operacional (Online)
repository.name.fl_str_mv Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
repository.mail.fl_str_mv ||sobrapo@sobrapo.org.br
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