浮点数编码遗传算法变异概率的选取

Selection of Mutation Probability of Floating-point Number Code Genetic Algorithm

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.