This article presents an approach to integrate a Pareto dominance concept into a comprehensive learning particle swarm optimizer ~CLPSO! to handle multiple objective optimization problems. The multiobjective comprehensive learning particle swarm optimizer ~MOCLPSO! also integrates an external archiv
โฆ LIBER โฆ
Integrated Learning Particle Swarm Optimizer for global optimization
โ Scribed by Samrat L. Sabat; Layak Ali; Siba K. Udgata
- Book ID
- 108064230
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 886 KB
- Volume
- 11
- Category
- Article
- ISSN
- 1568-4946
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## Abstract This paper presents a method for the integrative optimization system. Recently, many methods for global optimization have been proposed. The objective of these methods is to find a global minimum of nonconvex function. However, large numbers of function evaluations are required, in gene
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