摘要
针对遗传算法应用的局限性 ,把模糊思想应用到大变异操作中 ,提出了模糊大变异操作 ;并结合自适应遗传算法、最佳选择策略机制和过滤操作的思想 ,提出了一种新的遗传算法结构———混合式遗传算法 (hybridge neticalgorithm ,HGA)。HGA不仅保证了算法的全局收敛性 ,而且提高了算法的收敛速度和稳定性。算例验证了算法的优越性能。
Aiming at the limitation of GA, fuzzy - big - mutation, a new mutation method is proposed in this paper. Fuzzy - big - mutation improves the performance of big - mutation by applying fuzzy idea. Based on fuzzy - big - mutation and adaptive - GA, best - selection, filtering, hybrid genetic algorithm(HGA) is presented. HGA can converge to global optimum and improve the rate of converging and stability of GA. The computing experiments in the paper prove this.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2001年第7期95-97,共3页
Systems Engineering and Electronics