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Particle swarm optimisation for Pareto optimal solutions in electromagnetic shape design

โœ Scribed by Baumgartner, U.; Magele, C.; Preis, K.; Renhart, W.

Book ID
114457268
Publisher
The Institution of Electrical Engineers
Year
2004
Tongue
English
Weight
856 KB
Volume
151
Category
Article
ISSN
1350-2344

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โœ Junjie Yang; Jianzhong Zhou; Li Liu; Yinghai Li ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 525 KB

## a b s t r a c t In multi-objective particle swarm optimization (MOPSO) algorithms, finding the global optimal particle (gBest) for each particle of the swarm from a set of non-dominated solutions is very difficult yet an important problem for attaining convergence and diversity of solutions. Fir