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https://hdl.handle.net/1822/51482
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Campo DC | Valor | Idioma |
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dc.contributor.author | Rocha, Ana Maria A. C. | por |
dc.contributor.author | Fernandes, Edite Manuela da G. P. | por |
dc.date.accessioned | 2018-03-05T10:10:44Z | - |
dc.date.available | 2018-03-05T10:10:44Z | - |
dc.date.issued | 2007 | - |
dc.identifier.isbn | 9789606766145 | - |
dc.identifier.uri | https://hdl.handle.net/1822/51482 | - |
dc.description.abstract | The Electromagnetism-like (EM) algorithm, developed by Birbil and Fang [31 is a population-based stochastic global optimization algorithm that uses an attraction-repulsion mechanism to move sample points toward optimality. In order to improve the accuracy of the solutions the EM algorithm incorporates a random local search. In this paper we propose: a new local search procedure based on a pattern search method, and a population shrinking strategy to improve efficiency. The proposed method is applied to some test problems and compared with the original EM algorithm. | por |
dc.language.iso | eng | por |
dc.publisher | World Scientific and Engineering Academy and Society (WSEAS) | por |
dc.rights | openAccess | por |
dc.subject | Global optimization | por |
dc.subject | Electromagnetism-like algorithm | por |
dc.subject | Pattern search method | por |
dc.subject | Population shrinking | por |
dc.title | A new electromagnetism-like algorithm with a population shrinking strategy | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
oaire.citationStartPage | 307 | por |
oaire.citationEndPage | 312 | por |
oaire.citationConferencePlace | Venice, Italy | por |
dc.date.updated | 2018-01-29T11:52:00Z | - |
dc.description.publicationversion | info:eu-repo/semantics/publishedVersion | por |
dc.subject.wos | Science & Technology | - |
sdum.export.identifier | 2465 | - |
sdum.conferencePublication | Proceedings of the 6th WSEAS International Conference on System Science and Simulation in Engineering (ICOSSSE'07) | por |
sdum.bookTitle | Proceedings of the 6th WSEAS International Conference on System Science and Simulation in Engineering (ICOSSSE' 07) | por |
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wseas_ANA07.pdf | 185,24 kB | Adobe PDF | Ver/Abrir |