摘要
针对多约束QoS路由优化问题,提出一种新型混沌遗传算法。算法采用节点序号编码,混沌优化初始化种群,以及能防止产生无效路径的交叉变异策略。利用混沌变量的随机性、遍历性特点有效增加初始种群的多样性,改善了遗传算法早熟的不足。仿真实验证明,该算法适用于较大规模的网络,且具有收敛速度快和稳定性高的优点,是一种解决多约束QoS路由问题的可行、高效的方法。
This paper proposed a new chaos genetic algorithm to solve multi-constrained QoS routing problem. The algorithm used sequence code, chaotic population initialization, valid-path-assured crossover and mutation strategy. The advantages of chaotic variables such as stochastic and ergodic increased the diversity of initial population effectively, and avoided the premature in genetic algorithm. Simulation results show that the algorithm is applicable to large network and has fast convergence and high stability, and can solve the multi-constrained QoS routing problem effectively and efficiently.
出处
《计算机应用研究》
CSCD
北大核心
2012年第8期3078-3080,共3页
Application Research of Computers
基金
国家自然科学基金资助项目(31171457)
广东省产学研结合基金资助项目(2010B090400451)
华南农业大学校长基金资助项目(K071700
2008X004)
关键词
混沌选径
遗传算法
多约束QOS路由
节点序号编码
chaotic path selection
genetic algorithm
multi-constrained QoS routing
sequence code
