期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：4
出版社：S.S. Mishra
摘要：Genet ic algorithms facilitate the hybridization of other local search techniques to get the optimal solution. Basically local search and genetic algorithm are two complement solutions. Genetic algorithms performs good in finding global searching because they are capable of quickly finding promising regions, but they take relatively long time to find the optima in those regions. Local search are capable to find the local optima with high accuracy a nd fast convergence but suffers from the problem of foot hills. A perfect blending of genetic algorithm with local search techniques helps in exploitation as well as exploration. In this paper, an ex haustive survey of different hybridization techniques was carried out.
