Descripción
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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. | |
Internacional
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Si |
JCR del ISI
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No |
Título de la revista
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International Journal of Advancements in Computing Technology |
ISSN
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2005-8039 |
Factor de impacto JCR
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Información de impacto
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Scopus DBLP |
Volumen
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4 |
DOI
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10.4156/ijact.vol4.issue 12.1 |
Número de revista
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12 |
Desde la página
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1 |
Hasta la página
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7 |
Mes
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SIN MES |
Ranking
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