摘要
交叉算子是遗传算子中一个重要的算子,是对双亲个体进行交叉重组得到不同的两个新个体的过程,对遗传算法搜索结果有重要的影响。从交叉概率和交叉策略两个方面可以改进交叉算子,将其应用到函数优化中能获得比典型的遗传算法更优的解,且性能更优。
Crossover operator is one of the important genetic operators, which is the processing of getting two different new individuals by operating parental individuals. It has important influence on the searching results of genetic algorithm. Crossover operator can deliver good genes to the next generation. Improved crossover operator proposed in this paper, which is improved from crossover probability and strategy, can be applied to function optimization. Comparing to the typical genetic algorithm, it has more ootimum Performance. and can get better solutions.
出处
《江苏广播电视大学学报》
2011年第5期54-57,共4页
Journal of Jiangsu Radio & Television University
关键词
遗传算法
遗传算子
交叉算子
优解
genetic algorithm
genetic operators
adjacency-based Crossover
optimum Solution