Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1996.07b
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- Pages.1401-1403
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- 1996
New Search Strategy in Sexual Reproduction Genetic Algorithms Using Cache Pool
캐시풀을 이용한 유성생식 유전알고리즘의 새로운 탐색전략
- Ryu, Keun-Bae (R&D Institute, Hyosung Industries Co., Ltd.) ;
- Kim, Chang-Eob (R&D Institute, Hyosung Industries Co., Ltd.) ;
- Lee, Hahk-Sung (R&D Institute, Hyosung Industries Co., Ltd.)
- Published : 1996.07.22
Abstract
A new method is proposed for tracking the optimum points in nonstationary problem via genetic search. Cache Pool to save the past genetic informations is added to population in search using Sexual Reproduction Genetic Algorithm(SRGA). In Cache Pool, elite chromosomes from population are accumulated. A best Individual is made up from these chromosomes in varying environment and inserted into the newly reproduced population every generation. Experimental results indicate changing global optima are accurately identified and followed.
Keywords