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https://hdl.handle.net/1822/42899
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Campo DC | Valor | Idioma |
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dc.contributor.author | Francisco, Rogério Brochado | por |
dc.contributor.author | Costa, M. Fernanda P. | por |
dc.contributor.author | Rocha, Ana Maria A. C. | por |
dc.date.accessioned | 2016-10-31T15:17:00Z | - |
dc.date.available | 2016-10-31T15:17:00Z | - |
dc.date.issued | 2016-07 | - |
dc.identifier.citation | Rogério B. Francisco, M. Fernanda P. Costa, and Ana Maria A.C. Rocha, Extensions of Firefly Algorithm for Nonsmooth Nonconvex Constrained Optimization Problems, O. Gervasi et al. (Eds.): ICCSA 2016, Part I, LNCS 9786, pp. 402--417, 2016. | por |
dc.identifier.isbn | 9783319420844 | por |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://hdl.handle.net/1822/42899 | - |
dc.description | Publicado em: "Computational science and its applications – ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part I". ISBN 978-3-319-42084-4 | por |
dc.description.abstract | Firefly Algorithm (FA) is a stochastic population-based algorithm based on the flashing patterns and behavior of fireflies. Original FA was created and successfully applied to solve bound constrained optimization problems. In this paper we present extensions of FA for solving nonsmooth nonconvex constrained global optimization problems. To handle the constraints of the problem, feasibility and dominance rules and a fitness function based on the global competitive ranking, are proposed. To enhance the speed of convergence, the proposed extensions of FA invoke a stochastic local search procedure. Numerical experiments to validate the proposed approaches using a set of well know test problems are presented. The results show that the proposed extensions of FA compares favorably with other stochastic population-based methods. | por |
dc.description.sponsorship | COMPETE: POCI-01-0145- FEDER-007043 | por |
dc.description.sponsorship | FCT – Fundação para a Ciência e Tecnologia within the projects UID/CEC/00319/2013 and UID/MAT/00013/2013 | por |
dc.language.iso | eng | por |
dc.publisher | Springer International Publishing AG | por |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147280/PT | por |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147370/PT | por |
dc.rights | openAccess | por |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | por |
dc.subject | Firefly algorithm | por |
dc.subject | Constrained global optimization | por |
dc.subject | Stochastic ranking | por |
dc.title | Extensions of firefly algorithm for nonsmooth nonconvex constrained optimization problems | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | www.springerlink.com | por |
sdum.publicationstatus | info:eu-repo/semantics/publishedVersion | por |
oaire.citationStartPage | 402 | por |
oaire.citationEndPage | 417 | por |
oaire.citationConferencePlace | Beijing, China | por |
oaire.citationTitle | Lecture Notes in Computer Science | por |
oaire.citationVolume | 9786 | por |
dc.identifier.doi | 10.1007/978-3-319-42085-1_31 | por |
dc.subject.fos | Engenharia e Tecnologia::Outras Engenharias e Tecnologias | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Lecture Notes in Computer Science | por |
sdum.conferencePublication | COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2016, PT I | por |
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Ficheiro | Descrição | Tamanho | Formato | |
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AMR_Rogerio_ICCSA_2016.pdf | 780,44 kB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons