Descripción
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Estimation of distribution algorithms (EDAs) are one of the most promising paradigms in today¿s evolutionary computation. In this field, there has been an incipient activity in the so-called parallel estimation of distribution algorithms (pEDAs). One of these approaches is the distributed estimation of distribution algorithms (dEDAs). This paper introduces a new initialization mechanism for each of the populations of the islands based on the Voronoi cells. To analyze the results, a series of different experiments using the benchmark suite for the special session on Real-parameter Optimization of the IEEE CEC 2005 conference has been carried out. The results obtained suggest that the Voronoi initialization method considerably improves the performance obtained from a traditional uniform initialization. | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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SOFT COMPUTING |
ISSN
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1432-7643 |
Factor de impacto JCR
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1,328 |
Información de impacto
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Volumen
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15 |
DOI
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10.1007/s00500-010-0603-1 |
Número de revista
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4 |
Desde la página
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713 |
Hasta la página
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720 |
Mes
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ABRIL |
Ranking
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