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|Type:||Artigo de evento|
|Title:||Magnetic Particle Swarm Optimization With Estimation Of Distribution|
|Abstract:||The magnetic particle swarm (MPS) algorithm is an approach based on the phenomenon dipole repulsion by a magnetic field. In this paper, a new version of this algorithm, which employs an estimation of distribution step as an additional search heuristic, is proposed and applied to seven well-known test functions for 30-dimensional, 120-dimensional and 1000-dimensional search spaces. The performance of the new approach is compared to that of benchmark differential evolution and estimation of distribution methods, and the results reveal its potential in terms of multimodal search in the context of complex optimization tasks. © 2011 IEEE.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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