Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study on Niching Genetic Algorithm for Multimodal Function Optimization

Multimodal 함수 최적화를 위한 Niching 유전 알고리즘에 대한 연구

  • 이철균 (현대중공업 중앙연구소 전력전자 연구실) ;
  • 조동혁 (서울대학교 전기공학부) ;
  • 정현교 (서울대학교 전기공학부)
  • Published : 1998.07.20
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Abstract

Niching methods extend genetic algorithms to domains that require the location of multiple solutions. But, current niching methods have some of drawbacks in the ability of search and preservation of solutions. So, this paper presents a new technique, named as Restricted Competition Selection(RCS). Then, RCS method is compared with sharing and deterministic crowding by applying to some multimodal problems in order to verify that it has more favorable properties.

Keywords