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：8
出版社：S.S. Mishra
摘要：Computational drawbacks of existing derivative-based numerical methods have forced researchers all over the world to look towards metaheuristic algorithms founded on simulations of nature to solve computationally intractable engineering optimization problems since the past two decades. Within this growing trend, the methodology, known as Memetic algorithm, is one of the most recent technique which mimicks the nature and culture. The biological-cultural selection has indeed transcended the field of combinatorial and continuous optimization. Recent literature is continually indicating that the concept of "meme" dispersal and selection can be exploited in, for example, robotics engineering, multi-agent systems, robotics, optimization, software engineering, computational biology, business intelligence, and the social sciences. This paper gives a basic introduction to memetic algorithm
关键词：Evolutionary Algorithm; Genetic Algorithm; Local search; Local optima and Diversity.
