%0 Journal Article
%T Genetic algorithm based on predatory search strategy<br>基于捕食搜索策略的遗传算法研究
%A ZHANG Ding-xue
%A GUAN Zhi-hong
%A LIU Xin-zhi
%A <br>张顶学
%A 关治洪
%A 刘新芝
%J 计算机应用研究
%D 2008
%I 
%X To improve performance of genetic algorithm and avoid trapping to local optima,proposed a new genetic algorithm based on predatory search strategy.It simulated the animal predatory search in running,and adjusted the crossover and mutation probability by the best individual fitness in every generation.It could enhance the ability of global exploring and local search.The simulation results demonstrate the effectiveness and practicability of this algorithm.
%K predatory search strategy
%K genetic algorithm
%K crossover probability
%K mutation probability<br>捕食搜索策略
%K 遗传算法
%K 交叉概率
%K 变异概率
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=95AD1AA8EA052C246FCE794FDDACB916&yid=67289AFF6305E306&vid=C5154311167311FE&iid=E158A972A605785F&sid=6FEA2FD9BDAB9923&eid=66156A49F03BF135&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10