关键词: 协同进化 自组织学习 记忆型变异 进化算法

Abstract:

A coevolutionary algorithm with memory （MCEA） is presented to simulate the local self-adaptive evolutionary process of biological colony. Colony is  composed of a subgroup and individuals to harmonize preferably global and local search. Crossover and combination are executed between the elite of indi  viduals and the subgroup to coevolve. Comparability among the individuals in the evolution anaphase is utilized. The delegate is executed repeatedly for mutation in order to find the important locas to induct the mutation of subgroups. Experiments show that MCEA is fast, stable and easy-to-realize.

Key words: coevolution, self-organize study, mutation with memory, evolutionary algorithm