摘要
提出了一种改进的遗传算法,它采用进化前后期分别调整交叉概率、变异概率,二次交叉,对指定基因集中变异以及移民策略等手段保证在整个进化过程都能有效搜索空间,克服了传统算法容易陷入局部最优的缺点。它在铁心电抗器优化设计中的应用及与传统算法的比较,证明了改进算法的有效性和先进性。
Presents a modified genetic algorithm and applies the method to the optimum design of iron reactor. The method includes adjusting the probability of crossover and mutation in the evolutionary process, second crossover, focusing mutation to the special gene and emigration strategies. The method can ensure space search effective in the entire evolution process and overcome the drawback of traditional genetic algorithm that is easy to get a local optimum answer. Compares the traditional and modified genetic algorithm and proves the validity and advantage of the modified genetic algorithm.
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2005年第1期7-8,共2页
High Voltage Engineering
关键词
遗传算法
交叉
变异
铁心电抗器
genetic algorithm
crossover
mutation
iron reactor
