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Pareto-Ranking Based Quantum-Behaved Particle Swarm Optimization for Multiobjective Optimization
A study on pareto-ranking based quantum-behaved particle swarm optimization (QPSO) for multiobjective optimization problems is presented in this paper. During the iteration, an external repository is maintained to remember the nondominated solutions, from which the global best position is chosen. Th...
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| Asıl Yazarlar: | , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Hindawi Limited
2015-01-01
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| Seri Bilgileri: | Mathematical Problems in Engineering |
| Online Erişim: | http://dx.doi.org/10.1155/2015/940592 |
| Etiketler: |
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