摘要
提出了最优子种群实数编码遗传算法理论,通过从种群中选出适应值最高的若干数量的个体,组成该代最优子种群,将最优子种群中的个体与种群中其他个体进行交叉变异,最优子种群中的个体间也进行交叉变异,从而产生新的种群。该遗传算法使得遗传过程中落入局部最优解几乎不可能,对于多极值问题也非常有效,收敛速度也非常快。
A kind of new decimal genetic algorithm of optimal filial- population is put forward. A certain number of individual with high fitness are chosen from the population and made up an optimal filial - population, the individual of optimal filial- population are made crossover and mutation each other,then the next new population is produced. This genetic algorithm makes it almost impossible to fall into local optimum, and it is very effective on multi - extremum programming, its convergence velocity is very fast.
出处
《现代电子技术》
2007年第15期119-121,共3页
Modern Electronics Technique
关键词
遗传算法
最优子种群
实数编码
个体
genetic algorithm
optimal filial - population
decimal code
individual
