Novel fish swarm heuristics for bound constrained global optimization problems

Bibliographic Details
Main Author: Rocha, Ana Maria A. C.
Publication Date: 2011
Other Authors: Fernandes, Edite Manuela da G. P., Martins, Tiago F. M. C.
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/14478
Summary: The heuristics herein presented are modified versions of the artificial fish swarm algorithm for global optimization. The new ideas aim to improve solution accuracy and reduce computational costs, in particular the number of function evaluations. The modifications also focus on special point movements, such as the random, search and the leap movements. A local search is applied to refine promising regions. An extension to bound constrained problems is also presented. To assess the performance of the two proposed heuristics, we use the performance profiles as proposed by Dolan and More in 2002. A comparison with three stochastic methods from the literature is included.
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spelling Novel fish swarm heuristics for bound constrained global optimization problemsGlobal optimizationDerivative-free methodSwarm intelligenceHeuristicsScience & TechnologyThe heuristics herein presented are modified versions of the artificial fish swarm algorithm for global optimization. The new ideas aim to improve solution accuracy and reduce computational costs, in particular the number of function evaluations. The modifications also focus on special point movements, such as the random, search and the leap movements. A local search is applied to refine promising regions. An extension to bound constrained problems is also presented. To assess the performance of the two proposed heuristics, we use the performance profiles as proposed by Dolan and More in 2002. A comparison with three stochastic methods from the literature is included.Fundação para a Ciência e a Tecnologia (FCT)SpringerUniversidade do MinhoRocha, Ana Maria A. C.Fernandes, Edite Manuela da G. P.Martins, Tiago F. M. C.2011-11-182011-11-18T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/14478eng97836422193060302-974310.1007/978-3-642-21931-3_16www.springerlink.cominfo: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:RCAAP2024-05-11T05:27:29Zoai:repositorium.sdum.uminho.pt:1822/14478Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:19:19.258400Repositórios 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 Novel fish swarm heuristics for bound constrained global optimization problems
title Novel fish swarm heuristics for bound constrained global optimization problems
spellingShingle Novel fish swarm heuristics for bound constrained global optimization problems
Rocha, Ana Maria A. C.
Global optimization
Derivative-free method
Swarm intelligence
Heuristics
Science & Technology
title_short Novel fish swarm heuristics for bound constrained global optimization problems
title_full Novel fish swarm heuristics for bound constrained global optimization problems
title_fullStr Novel fish swarm heuristics for bound constrained global optimization problems
title_full_unstemmed Novel fish swarm heuristics for bound constrained global optimization problems
title_sort Novel fish swarm heuristics for bound constrained global optimization problems
author Rocha, Ana Maria A. C.
author_facet Rocha, Ana Maria A. C.
Fernandes, Edite Manuela da G. P.
Martins, Tiago F. M. C.
author_role author
author2 Fernandes, Edite Manuela da G. P.
Martins, Tiago F. M. C.
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Rocha, Ana Maria A. C.
Fernandes, Edite Manuela da G. P.
Martins, Tiago F. M. C.
dc.subject.por.fl_str_mv Global optimization
Derivative-free method
Swarm intelligence
Heuristics
Science & Technology
topic Global optimization
Derivative-free method
Swarm intelligence
Heuristics
Science & Technology
description The heuristics herein presented are modified versions of the artificial fish swarm algorithm for global optimization. The new ideas aim to improve solution accuracy and reduce computational costs, in particular the number of function evaluations. The modifications also focus on special point movements, such as the random, search and the leap movements. A local search is applied to refine promising regions. An extension to bound constrained problems is also presented. To assess the performance of the two proposed heuristics, we use the performance profiles as proposed by Dolan and More in 2002. A comparison with three stochastic methods from the literature is included.
publishDate 2011
dc.date.none.fl_str_mv 2011-11-18
2011-11-18T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/14478
url http://hdl.handle.net/1822/14478
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 9783642219306
0302-9743
10.1007/978-3-642-21931-3_16
www.springerlink.com
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: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
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