摘要
文化基因算法(memetic algorithm)是Pablo Moscato提出的建立在模拟文化进化基础上的优化算法,它实质上是一种基于种群的全局搜索和基于个体的局部启发式搜索的结合体。文化基因算法的概念被提出后,已被越来越多的研究人员接受和采纳。本文主要介绍了文化基因算法的起源、实现过程,以及在各类优化问题中的应用情况。
Memetic algorithm proposed by Pablo Moscato is based on the simulation of the process of cultural evolution, it is a marriage between a population-based global search and the heuristic local search made by each of the individuals. The origin and development of the memetic algorithm as well as its applications in various optimization problems are introdued in the paper.
出处
《自动化技术与应用》
2007年第11期1-4,18,共5页
Techniques of Automation and Applications
关键词
文化基因算法
进化计算
混合算法
memetic algorithm
evolutionary computation
hybrid algorithm
