信息与控制2016，Vol.45Issue(2)：142-150,9.DOI:10.13976/j.cnki.xk.2016.0142
一种并行变异自适应遗传算法及其性能分析
An Adaptive Genetic Algorithm with Parallel Mutation and Its Performance Evaluation
摘要
Abstract
To solve the problems of slow convergent speed and low convergent precision in the genetic algorithm based on real coding,we define a new index to describe population evolution,population vigor,and present a revised adaptive genetic algorithm.Using the population vigor index,we consider the diversity of a popula-tion and the similarity of adjacent populations in a unified frame,and adaptively adjust the probabilities of crossover and mutation.In addition,we reset the reference value of population fitness using mode fitness in-stead of average fitness and improve the mutation operator using a parallel mechanism.Stimulation results show that the algorithm has a quicker convergent speed and better convergent precision.As an application ex-ample,we also employed the algorithm to solve gasoline blending recipe optimization.关键词
遗传算法/种群活力/自适应/并行变异/油品调和Key words
genetic algorithm/population vigor/adaptation/parallel mutation/gasoline blending分类
信息技术与安全科学引用本文复制引用
苗振华,孙旭东,邵诚..一种并行变异自适应遗传算法及其性能分析[J].信息与控制,2016,45(2):142-150,9.基金项目
国家863计划资助项目 （）
