Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/867
Title: A particle swarm optimization method with enhanced global search ability for design optimizations of electromagnetic devices
Authors: Ho, Siu-lau
Yang, Shiyou
Ni, Guangzheng
Wong, Ho-ching Chris
Subjects: Global optimization
Metaheuristic algorithm
Particle swarm optimization (PSO)
Stochastic method
Issue Date: Apr-2006
Publisher: IEEE
Source: IEEE transactions on magnetics, Apr. 2006, v. 42, no. 4, p. 1107-1110.
Abstract: Based on the refinement successes to particle swarm optimization (PSO) methods, which include, namely, the introduction of an age variable, the proposal of new selection strategies to find the best solutions of the particle as well as for its neighbors, the design of a novel formula for velocity updating, the incorporation of an intensification search phase, and so on, an improved PSO method is presented. The experimental results reported indicate that the refined pinpointing search ability and the global search ability of the proposed method are significantly improved when compared to those of conventional PSOs.
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Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/867
DOI: 10.1109/TMAG.2006.871426
ISSN: 0018-9464
Appears in Collections:EE Journal/Magazine Articles
IC Journal/Magazine Articles

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