摘要
用自适应的适应度函数、交叉概率及变异概率取代固定的适应度函数、交叉概率及变异概率来改进遗传算法,并与标准遗传算法进行了实验比较,结果证明:改进的遗传算法显著提高了收敛性能,并且具有很强的自适应能力。
A new genetic algorithmis is improved.It presents alladaptive illness function,cross-over probability and mutation probability.Through the comparison between it and standard genetic al-gorithm experiments show that it has significantly improved the convergent performance and has as-trong self-adj ustingability.
出处
《普洱学院学报》
2013年第6期27-30,共4页
Journal of Pu'er University
关键词
遗传算法
适应度函数
交叉概率
变异概率
genetic algorithm
fitness function
crossover probability
mutation probability
