A Coevolutionary Algorithm with Memory
Cao Ju · Computer Engineering and Science · 2008
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 individuals 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.