摘要
一般遗传算法对变异概率的选取只有一个推荐的选择范围,文中通过引入个体基因改 变总机率这一概念,根据问题的染色体长度来确定采用浮点数编码的遗传算法变异概率,经 测试函数检验具有明显的效果,避免了选取的盲目性.
The selection of probability of mutation in genetic algorithm only has a recomm ened range.In this aticle,through new concept named as total probability of indi vid ual gene changing,it can get the probability of mutation in GA with floating-p o int number code in accordance with the length of chromosome. Tested by GA test fun ction,it proves the effectiveness of this method and avoids the blindness of sel ection.
出处
《武汉理工大学学报(交通科学与工程版)》
北大核心
2001年第4期496-499,共4页
Journal of Wuhan University of Technology(Transportation Science & Engineering)
关键词
遗传算法
浮点数
编码
变异
概率
:genetic algorithm
floating-point number;code
mutation
probability