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Descripción
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| Swarm colonies reproduce social habits. Working together in a group to reach a predefined goal is a social behaviour occurring in nature. Linear optimization problems have been approached by different techniques based on natural models. In particular, Particles Swarm optimization is a meta-heuristic search technique that has proven to be effective when dealing with complex optimization problems. This paper presents and develops a new method based on different penalties strategies to solve complex problems. It focuses on the training process of the neural networks, the constraints and the election of the parameters to ensure successful results and to avoid the most common obstacles when searching optimal solutions. | |
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Internacional
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Si |
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JCR del ISI
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No |
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Título de la revista
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Computers Research Today |
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ISSN
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2231-1416 |
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Factor de impacto JCR
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Información de impacto
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Volumen
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1 |
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DOI
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Número de revista
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1 |
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Desde la página
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17 |
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Hasta la página
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44 |
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Mes
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SIN MES |
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Ranking
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