A novel approach for solving constrained nonlinear optimization problems using neurofuzzy systems

Detalhes bibliográficos
Autor(a) principal: da Silva, I. N.
Data de Publicação: 2000
Outros Autores: de Souza, A. N., Bordon, M. E.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1142/S0129065701000722
http://hdl.handle.net/11449/8897
Resumo: A neural network model for solving constrained nonlinear optimization problems with bounded variables is presented in this paper. More specifically, a modified Hopfield network is developed and its internal parameters are completed using the valid-subspace technique. These parameters guarantee the convergence of the network to the equilibrium points. The network is shown to be completely stable and globally convergent to the solutions of constrained nonlinear optimization problems. A fuzzy logic controller is incorporated in the network to minimize convergence time. Simulation results are presented to validate the proposed approach.
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spelling A novel approach for solving constrained nonlinear optimization problems using neurofuzzy systemsA neural network model for solving constrained nonlinear optimization problems with bounded variables is presented in this paper. More specifically, a modified Hopfield network is developed and its internal parameters are completed using the valid-subspace technique. These parameters guarantee the convergence of the network to the equilibrium points. The network is shown to be completely stable and globally convergent to the solutions of constrained nonlinear optimization problems. A fuzzy logic controller is incorporated in the network to minimize convergence time. Simulation results are presented to validate the proposed approach.Univ São Paulo, FE, DEE, Dept Elect Engn,UNESP, BR-17033360 Bauru, SP, BrazilUniv São Paulo, FE, DEE, Dept Elect Engn,UNESP, BR-17033360 Bauru, SP, BrazilInstitute of Electrical and Electronics Engineers (IEEE), Computer SocUniversidade Estadual Paulista (Unesp)da Silva, I. N.de Souza, A. N.Bordon, M. E.2014-05-20T13:27:13Z2014-05-20T13:27:13Z2000-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject213-218http://dx.doi.org/10.1142/S0129065701000722Sixth Brazilian Symposium on Neural Networks, Vol 1, Proceedings. Los Alamitos: IEEE Computer Soc, p. 213-218, 2000.http://hdl.handle.net/11449/889710.1142/S0129065701000722WOS:000165731900037821277596049468655898388442982320000-0001-8510-8245Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSixth Brazilian Symposium on Neural Networks, Vol 1, Proceedingsinfo:eu-repo/semantics/openAccess2021-10-22T20:56:26Zoai:repositorio.unesp.br:11449/8897Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-22T20:56:26Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A novel approach for solving constrained nonlinear optimization problems using neurofuzzy systems
title A novel approach for solving constrained nonlinear optimization problems using neurofuzzy systems
spellingShingle A novel approach for solving constrained nonlinear optimization problems using neurofuzzy systems
da Silva, I. N.
title_short A novel approach for solving constrained nonlinear optimization problems using neurofuzzy systems
title_full A novel approach for solving constrained nonlinear optimization problems using neurofuzzy systems
title_fullStr A novel approach for solving constrained nonlinear optimization problems using neurofuzzy systems
title_full_unstemmed A novel approach for solving constrained nonlinear optimization problems using neurofuzzy systems
title_sort A novel approach for solving constrained nonlinear optimization problems using neurofuzzy systems
author da Silva, I. N.
author_facet da Silva, I. N.
de Souza, A. N.
Bordon, M. E.
author_role author
author2 de Souza, A. N.
Bordon, M. E.
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv da Silva, I. N.
de Souza, A. N.
Bordon, M. E.
description A neural network model for solving constrained nonlinear optimization problems with bounded variables is presented in this paper. More specifically, a modified Hopfield network is developed and its internal parameters are completed using the valid-subspace technique. These parameters guarantee the convergence of the network to the equilibrium points. The network is shown to be completely stable and globally convergent to the solutions of constrained nonlinear optimization problems. A fuzzy logic controller is incorporated in the network to minimize convergence time. Simulation results are presented to validate the proposed approach.
publishDate 2000
dc.date.none.fl_str_mv 2000-01-01
2014-05-20T13:27:13Z
2014-05-20T13:27:13Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1142/S0129065701000722
Sixth Brazilian Symposium on Neural Networks, Vol 1, Proceedings. Los Alamitos: IEEE Computer Soc, p. 213-218, 2000.
http://hdl.handle.net/11449/8897
10.1142/S0129065701000722
WOS:000165731900037
8212775960494686
5589838844298232
0000-0001-8510-8245
url http://dx.doi.org/10.1142/S0129065701000722
http://hdl.handle.net/11449/8897
identifier_str_mv Sixth Brazilian Symposium on Neural Networks, Vol 1, Proceedings. Los Alamitos: IEEE Computer Soc, p. 213-218, 2000.
10.1142/S0129065701000722
WOS:000165731900037
8212775960494686
5589838844298232
0000-0001-8510-8245
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sixth Brazilian Symposium on Neural Networks, Vol 1, Proceedings
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 213-218
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE), Computer Soc
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE), Computer Soc
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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