%0 Journal Article
%T Improved genetic algorithm based on population diversity and its application<br>基于种群相异度的改进遗传算法及应用
%A WANG Hui-ni
%A PENG Qi-yuan
%A ZHANG Xiao-mei
%A <br>王慧妮
%A 彭其渊
%A 张晓梅
%J 计算机应用
%D 2006
%I 
%X Based on population diversity, an improved genetic algorithm(IGA) was presented. The heuristic crossover strategy was adopted. In addition, the crossover scale, mutation scale and the mutation rate of each gene in each mutation individual could be adaptively adjusted according to the population diversity. Consequently, premature convergence was avoided and evolution was accelerated. IGA was applied into PID controller parameters optimization. Compared with traditional genetic algorithm(TGA), the simulation results prove that IGA is more efficient.
%K genetic algorithm
%K population diversity
%K crossover scale
%K adaptive mutation rate
%K PID controller
%K optimization<br>遗传算法
%K 种群相异度
%K 交叉规模
%K 自适应变异率
%K PID控制器
%K 优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=43EF8E0964777255&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=38B194292C032A66&sid=C6FC2A9EA7E6C4B9&eid=EA1556E089CA374B&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=5