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基于混合粒子群算法的QoS选播路由优化算法
引用本文:邓华.基于混合粒子群算法的QoS选播路由优化算法[J].电子技术,2010,47(3):4-5.
作者姓名:邓华
作者单位:中国地质大学,机电学院
摘    要:本文提出一种基于混合粒子群算法的QoS选播路由优化算法。算法针对QoS的多约束条件特点,采用了混沌搜索思想来增强算法局部搜索能力,并且通过正交初始化种群和交叉选择来增加粒子的多样性,提高算法精度。仿真结果对比表明,算法优化效果明显。

关 键 词:选播路由  QoS约束  混合粒子群算法  正交初始化  交叉选择  混沌搜索

Routing Optimization Algorithm for QoS Anycast Based on Hybrid Particle Swarm Optimization Algorithm
Deng Hua.Routing Optimization Algorithm for QoS Anycast Based on Hybrid Particle Swarm Optimization Algorithm[J].Electronic Technology,2010,47(3):4-5.
Authors:Deng Hua
Affiliation:Faculty of Mechanical & Electronic Information;China University of Geosciences
Abstract:This paper proposes a routing optimization algorithm for QoS anycast based on hybrid particle swarm optimization algorithm. Aiming at multi-constrained features of QoS,the algorithm adopts the thought that is based on chaotic search to enhance the capacity local search capability of the algorithm,and increase the particle diversity by orthogonal initialization and cross-selection to improve the algorithm accuracy. The comparison of simulation results shows that the algorithm has significant optimization eff...
Keywords:anycast routing  QoS constraint  hybrid particle swarm optimization algorithm  orthogonal initialization  cross-selection  chaotic search  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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