A Study for Improvement Effect of Paralleled Genetic Algorithm by Using Clustering Computer System

클러스터링 컴퓨터 시스템을 이용한 병렬화 유전자 알고리즘의 효율성 증대에 대한 연구

Among the optimization method, GA (genetic algorithm) is a very powerful searching method enough to compete with design sensitivity analysis method. GA is very easy to apply, since it dose not require any design sensitivity information. However, GA has been computationally not efficient due to huge repetitive computation. In this study, parallel computation is adopted to Improve computational efficiency, Paralleled GA is introduced on a clustered LINUX based personal computer system.