Descripción
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This paper shows the Particle Swarm Optimization algorithm with a Differential Evolution. Each candidate solution is sampled uniformly in [!5,5] D, whereDdenotes the search space dimension, and the evolution is performed with a classical PSO algorithm and a classical DE/x/1 algorithm according to a random threshold. | |
Internacional
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Si |
JCR del ISI
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No |
Título de la revista
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International Journal on Information Technologies and Knowledge |
ISSN
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1313-0455 |
Factor de impacto JCR
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0 |
Información de impacto
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Volumen
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5 |
DOI
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Número de revista
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1 |
Desde la página
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77 |
Hasta la página
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84 |
Mes
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SIN MES |
Ranking
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