Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/11498
Full metadata record
DC FieldValueLanguage
dc.creatorEsmin, Ahmed Ali Abdalla-
dc.creatorMatwin, Stan-
dc.date.accessioned2016-08-02T19:59:51Z-
dc.date.available2016-08-02T19:59:51Z-
dc.date.issued2012-06-
dc.identifier.citationESMIN A. A. A.; MATWIN, S. HPSOM: A hybrid particle swarm optimization algorithm with genetic mutation. International Journal of Innovative Computing, Information and Control, [S. l.], v. 9, n. 5, p. 1919-1934, May 2013.pt_BR
dc.identifier.urihttp://www.ijicic.org/ijicic-12-02085.pdfpt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/11498-
dc.description.abstractIn this paper, a hybrid particle swarm optimization algorithm (HPSOM) that uses the mutation process to improve the standard particle swarm optimization (PSO) algorithm is presented. The main idea of the HPSOM is to integrate the PSO with genetic algorithm mutation method. As a result, the proposed algorithm has the automatic balance ability between global and local searching abilities. The validity of the HPSOM algorithm is tested for a variety of benchmark problems. Experimental results show empirically that the proposed method outperforms significantly the standard PSO methods in terms of convergence speed, solution quality, ability to find the global optimum, and solution stability.pt_BR
dc.languageen_USpt_BR
dc.publisherICIC Internationalpt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceInternational Journal of Innovative Computing, Information and Controlpt_BR
dc.subjectComputer algorithmspt_BR
dc.subjectEvolutionary computationpt_BR
dc.subjectBrownoutspt_BR
dc.subjectParticle swarm optimization (PSO)pt_BR
dc.subjectHybrid particle swarm optimization (HPSOM)pt_BR
dc.subjectGenetic algorithms (Computation)pt_BR
dc.subjectAlgoritmos computacionaispt_BR
dc.subjectComputação evolucionáriapt_BR
dc.subjectEnergia elétrica – Racionamentopt_BR
dc.subjectOtimização por nuvem de partículas híbridaspt_BR
dc.subjectAlgorítmo genético (Computação)pt_BR
dc.titleHPSOM: A hybrid particle swarm optimization algorithm with genetic mutationpt_BR
dc.typeArtigopt_BR
Appears in Collections:DCC - Artigos publicados em periódicos

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Admin Tools