摘要
针对简单递阶遗传算法的不足 ,首先提出了个体浓度的概念 ,以衡量种群的多样性 .结合个体浓度和进化代数 ,提出一种自适应递阶遗传算法 ,该算法不但可以提高种群的多样性 ,而且可以保证收敛性和快速性 .应用实例表明了本算法的有效性 .
Contraposed to the insufficiency of simple hierarchy genetic algorithm, the concept of individual deepness was first proposed, which is used to scale the diversity of population. Combined with the individual deepness and iterative times, an adaptive hierarchy genetic algorithm was put forward. Not only can it improve the diversity of evolution population, but also it can guarantee convergence and rapidity. Application examples show its validity.
出处
《中国矿业大学学报》
EI
CAS
CSCD
北大核心
2002年第6期622-625,共4页
Journal of China University of Mining & Technology
关键词
递阶遗传算法
个体浓度
自适应变异
递阶编码机制
genetic algorithm
hierarchy genetic algorithm
individual deepness
adaptive mutation
