计算机工程与应用2011，Vol.47Issue(14)：31-33,36,4.DOI:10.3778/j.issn.1002-8331.2011.14.010
基于协同进化的自适应遗传算法研究
Adaptive genetic algorithm based on co-evolution.
摘要
Abstract
For the problem of local optimum and the performance of stability,an adaptive genetic algorithm based on co-evolution is proposed. Adaptive probability of mutation is applied in local evolution and the capability of local search on the top floor is enhanced. On the bottom floor, co-evolution algorithm is used for solving the premature convergence among sub-populations, and adaptive genetic manipulation is used to protect outstanding individuals in sub-populations. The experiments demoustrate that this algorithm can increase the convergent speed and it has the ability of searching an optimum solution.关键词
自适应遗传算法/协同进化/收敛速度Key words
adaptive genetic algorithm/co-evolution/convergent speed分类
信息技术与安全科学引用本文复制引用
刘文远,刘彬..基于协同进化的自适应遗传算法研究[J].计算机工程与应用,2011,47(14):31-33,36,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.90104035) （the National Natural Science Foundation of China under Grant No.90104035）
国家火炬计划(国科发计[2008]658号). （国科发计[2008]658号）
