摘要
从分析标准遗传算法存在的缺陷入手，提出了一种自适应选择交叉概率、变异概率以及交叉位置非等概率选取的改进的遗传算法并予以仿真，在仿真的基础上对标准遗传算法与改进遗传算法进行性能比较．
The disadvantage of standard genetic algorithm (SGA) is analyzed andimprovement genetic algorithm (IGA) is presented which adopts a methed of selecting crossoverprobablity and mutation probablity using self-adapt and crossover site with non-equal probablity.Then,SGA is simulated. Based on the simulation, the proformance of IGA is compared with that ofSGA.
出处
《西北纺织工学院学报》
1998年第3期204-208,共5页
Journal of Northwest Institute of Textile Science and Technology
关键词
遗传算法
交叉概率
变异概率
交叉位置
genetic algorithm,crossover probablity, mutation probablity,crossover site
