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, SL 
Yang, S
Ni, G
Wong, HCC
Keywords: 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 How to cite?
Journal: IEEE transactions on magnetics 
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.
URI: http://hdl.handle.net/10397/867
ISSN: 0018-9464
DOI: 10.1109/TMAG.2006.871426
Rights: © 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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