Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2008.10c
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- Pages.86-89
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- 2008
Utilizing Particle Swarm Optimization into Multimodal Function Optimization
- Pham, Minh-Trien (School of Electrical & Computer Engineering, Chungbuk National University) ;
- Baatar, Nyambayar (School of Electrical & Computer Engineering, Chungbuk National University) ;
- Koh, Chang-Seop (School of Electrical & Computer Engineering, Chungbuk National University)
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- 고창섭 (충북대학교 전기공학과)
- Published : 2008.10.23
Abstract
There are some modified methods such as K-means Clustering Particle Swarm Optimization and Niching Particle Swarm Optimization based on PSO which aim to locate all optima in multimodal functions. K-means Clustering Particle Optimization could locate all optima of functions with finite number of optima. Niching Particle Swarm Optimization is able to locate all of optima but high computing time. Because of those disadvantages, we proposed a new method that could locate all of optima with reasonal time. We applied our method and others as well to analytic functions. By comparing the outcomes, it is shown that our method is significantly more effective than the two others.
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