湖南工业大学学报2012，Vol.26Issue(1)：70-73,4.
基于混沌遗传算法的多目标QoS组播路由优化
Optimization of Multi-Objective QoS Multicast Routing Based on Chaotic Genetic Algorithm
摘要
Abstract
To overcome the drawback that the premature convergence is liable to take place m geneuc algonmm, a lowest cost chaotic genetic algorithm with delay, delay jitter and bandwidth constraints is proposed. Introducing the chaotic perturbation to operate the population with a perturbation, the proposed algorithm is employed to maintain the diversity of the population in genetic algorithm, thus to overcome the premature and improve the convergence rate. The simulation results show that the proposed algorithm is effective, quick and stable.关键词
混沌优化/遗传算法/QoS组播路由Key words
chaotic optimization/genetic algorithm/QoS multicast routing分类
信息技术与安全科学引用本文复制引用
邹恩,蓝江林,刘泽华,方仕勇..基于混沌遗传算法的多目标QoS组播路由优化[J].湖南工业大学学报,2012,26(1):70-73,4.基金项目
国家863计划基金资助项目 （）
广东省科技厅产学研结合基金资助项目 （）
华南农业大学校长基金资助项目 （）
广东省大学生创新基金资助项目 （）
