Towards the Natural Optimization with Particle Swarm Optimization.
Data(s) |
2012
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Resumo |
This paper shows the Particle Swarm Optimization algorithm with a Differential Evolution. Each candidate solution is sampled in the interval [?5, 5] D where D indicates the dimension of the search space, and the evolution is performed with a classical PSO algorithm and a classical DE/x/1 algorithm according to a random threshold. Moreover, this paper provides concepts to deal with non-linear optimization through the use of PSO. |
Formato |
application/pdf |
Identificador | |
Idioma(s) |
eng |
Publicador |
E.U. de Informática (UPM) |
Relação |
http://oa.upm.es/15815/1/INVE_MEM_2012_130935.pdf info:eu-repo/semantics/altIdentifier/doi/10.4156/ijact.vol4.issue 12.1 |
Direitos |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/restrictedAccess |
Fonte |
International Journal of Advancements in Computing Technology, ISSN 2005-8039, 2012, Vol. 4, No. 12 |
Palavras-Chave | #Matemáticas |
Tipo |
info:eu-repo/semantics/article Artículo PeerReviewed |