Solving nonlinear equations by a tabu search strategy

Bibliographic Details
Main Author: Ramadas, Gisela C. V.
Publication Date: 2011
Other Authors: Fernandes, Edite Manuela da G. P.
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/14872
Summary: Solving systems of nonlinear equations is a problem of particular importance since they emerge through the mathematical modeling of real problems that arise naturally in many branches of engineering and in the physical sciences. The problem can be naturally reformulated as a global optimization problem. In this paper, we show that a metaheuristic, called Directed Tabu Search (DTS) [16], is able to converge to the solutions of a set of problems for which the fsolve function of MATLAB® failed to converge. We also show the effect of the dimension of the problem in the performance of the DTS.
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spelling Solving nonlinear equations by a tabu search strategyNonlinear equationsMetaheuristicTabu searchSolving systems of nonlinear equations is a problem of particular importance since they emerge through the mathematical modeling of real problems that arise naturally in many branches of engineering and in the physical sciences. The problem can be naturally reformulated as a global optimization problem. In this paper, we show that a metaheuristic, called Directed Tabu Search (DTS) [16], is able to converge to the solutions of a set of problems for which the fsolve function of MATLAB® failed to converge. We also show the effect of the dimension of the problem in the performance of the DTS.Fundação para a Ciência e a Tecnologia (FCT)Universidade do MinhoRamadas, Gisela C. V.Fernandes, Edite Manuela da G. P.2011-062011-06-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/14872eng978-84-614-6167-7info: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:RCAAP2024-05-11T07:17:41Zoai:repositorium.sdum.uminho.pt:1822/14872Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:22:08.461581Repositórios 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 Solving nonlinear equations by a tabu search strategy
title Solving nonlinear equations by a tabu search strategy
spellingShingle Solving nonlinear equations by a tabu search strategy
Ramadas, Gisela C. V.
Nonlinear equations
Metaheuristic
Tabu search
title_short Solving nonlinear equations by a tabu search strategy
title_full Solving nonlinear equations by a tabu search strategy
title_fullStr Solving nonlinear equations by a tabu search strategy
title_full_unstemmed Solving nonlinear equations by a tabu search strategy
title_sort Solving nonlinear equations by a tabu search strategy
author Ramadas, Gisela C. V.
author_facet Ramadas, Gisela C. V.
Fernandes, Edite Manuela da G. P.
author_role author
author2 Fernandes, Edite Manuela da G. P.
author2_role author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Ramadas, Gisela C. V.
Fernandes, Edite Manuela da G. P.
dc.subject.por.fl_str_mv Nonlinear equations
Metaheuristic
Tabu search
topic Nonlinear equations
Metaheuristic
Tabu search
description Solving systems of nonlinear equations is a problem of particular importance since they emerge through the mathematical modeling of real problems that arise naturally in many branches of engineering and in the physical sciences. The problem can be naturally reformulated as a global optimization problem. In this paper, we show that a metaheuristic, called Directed Tabu Search (DTS) [16], is able to converge to the solutions of a set of problems for which the fsolve function of MATLAB® failed to converge. We also show the effect of the dimension of the problem in the performance of the DTS.
publishDate 2011
dc.date.none.fl_str_mv 2011-06
2011-06-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/14872
url http://hdl.handle.net/1822/14872
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-84-614-6167-7
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