Comprehensive Learning Particle Swarm Optimizer for Constrained Mixed-Variable Optimization Problems
This paper presents an improved particle swarm optimizer (PSO) for solving multimodal optimization problems with problem-specific constraints and mixed variables. The standard PSO is extended by employing a comprehensive learning strategy, different particle updating approaches, and a feasibility-ba...
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| Asıl Yazarlar: | , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Springer
2010-12-01
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| Seri Bilgileri: | International Journal of Computational Intelligence Systems |
| Konular: | |
| Online Erişim: | https://www.atlantis-press.com/article/2103.pdf |
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