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Particle swarm with equilibrium strategy of selection for multi-objective optimization

✍ Scribed by Yujia Wang; Yupu Yang


Book ID
108118673
Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
506 KB
Volume
200
Category
Article
ISSN
0377-2217

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## 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