대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2008년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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- Pages.86-89
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- 2008
Utilizing Particle Swarm Optimization into Multimodal Function Optimization
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- 고창섭 (충북대학교 전기공학과)
- 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)
- 발행 : 2008.10.23
초록
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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