摘要
文章结合遗传算法优化的反演性与混沌优化方法的遍历性,提出了混沌遗传算法,并将其应用于优化问题的求解。实验结果表明,与标准遗传算法比较,该算法具有更好的收敛性能与搜索效率。
By combining the inversion property of the genetic algorithm with the ergodic property of the chaos optimization method,the Chaos Genetic Algorithm（CGA） is presented,which is applied in solving the optimization problem.Compared with Standard Genetic Algorithm（SGA）,the experimental results showed that CGA takes advantages in convergence property and searching efficiency compared with Standard Genetic Algorithm（SGA）.
出处
《信息网络安全》
2011年第10期75-77,共3页
Netinfo Security
关键词
混沌
遗传算法
优化问题
chaos
genetic algorithm
optimization problem
