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In this paper, a new algorithm for the multimodal function optimization is proposed, based on the particle swarm optimization (PSO). A new method, named the multigrouped particle swarm optimization (MGPSO), keeps basic concepts of the PSO, and, thus, shows a more straightforward convergence compared to conventional hybrid type approaches. Moreover, the MGPSO has a unique advantage in that one can search N superior peaks of a multimodal function when the number of groups is N. The usefulness of the proposed algorithm was verified by the application to various case studies, including a practical electromagnetic optimization problem
Published in:
Magnetics, IEEE Transactions on
(Volume:42
,
Issue:
4
)
Date of Publication: April 2006
- Page(s):
- 1095 - 1098
- ISSN :
- 0018-9464
- INSPEC Accession Number:
- 8951841
- Digital Object Identifier :
- 10.1109/TMAG.2006.871568
- Date of Current Version :
- 20 March 2006
- Issue Date :
- April 2006
- Sponsored by :
- IEEE Magnetics Society
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