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dc.contributor.authorRocha, Ana Maria A. C.por
dc.contributor.authorSilva, Andreia Patrícia Matiaspor
dc.contributor.authorRocha, Jorge Gustavopor
dc.date.accessioned2016-01-15T14:55:28Z-
dc.date.available2016-01-15T14:55:28Z-
dc.date.issued2015-
dc.identifier.citationA.M.A.C. Rocha, A. Silva, and J.G. Rocha, A New Competitive Implementation of the Electro\-magnetism-like Algorithm for Global Optimization, O. Gervasi et al. (Eds.): ICCSA 2015, Part II, LNCS 9156, pp. 506--521, Springer, 2015.por
dc.identifier.isbn978-3-319-21407-8-
dc.identifier.issn0302-9743por
dc.identifier.urihttps://hdl.handle.net/1822/39472-
dc.description.abstractThe Electromagnetism-like (EM) algorithm is a population- based stochastic global optimization algorithm that uses an attraction- repulsion mechanism to move sample points towards the optimal. In this paper, an implementation of the EM algorithm in the Matlab en- vironment as a useful function for practitioners and for those who want to experiment a new global optimization solver is proposed. A set of benchmark problems are solved in order to evaluate the performance of the implemented method when compared with other stochastic methods available in the Matlab environment. The results con rm that our imple- mentation is a competitive alternative both in term of numerical results and performance. Finally, a case study based on a parameter estimation problem of a biology system shows that the EM implementation could be applied with promising results in the control optimization area.por
dc.description.sponsorshipAcknowledgments This work has been supported by FCT (Funda¸c˜ao para a Ciˆencia e Tecnologia, Portugal) in the scope of the project PEst-UID/CEC/00319/2013.por
dc.language.isoengpor
dc.publisherSpringerpor
dc.relationPEst-UID/CEC/00319/2013por
dc.rightsopenAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/por
dc.subjectGlobal optimizationpor
dc.subjectUnconstrained minimizationpor
dc.subjectMatlab environmentpor
dc.subjectElectromagnetism-like algorithmpor
dc.subjectDerivative-free algorithmpor
dc.titleA new competitive implementation of the electromagnetism-like algorithm for global optimizationpor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionwww.springerlink.compor
sdum.publicationstatuspublishedpor
oaire.citationStartPage506por
oaire.citationEndPage521por
oaire.citationConferencePlaceComputational Science and Its Applications -- ICCSA 2015por
oaire.citationTitleLecture Notes in Computer Sciencepor
oaire.citationVolume9156por
dc.identifier.doi10.1007/978-3-319-21407-8_36por
dc.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologiaspor
dc.subject.wosScience & Technologypor
sdum.journalLecture Notes in Computer Sciencepor
sdum.conferencePublicationCOMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2015, PT IIpor
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