A Bacteria Foraging-Particle Swarm Optimization Algorithm for QoS Multicast Routing

被引：0
|
作者：
Pradhan, Rohini [1 ]
Kabat, Manas Ranjan [1 ]
Sahoo, Satya Prakash [1 ]
机构：
[1] Veer Surendra Sai Univ Technol, Burla, Sambalpur, India
来源：
SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, PT I (SEMCCO 2013) | 2013年 / 8297卷
关键词：
BFO; multicast tree; PSO; QoS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose a modified Bacteria Foraging-Particles Swarm Optimization(BF-PSO) algorithm for QoS multicast routing. This meta-heuristic optimization algorithm generates a least cost multicast tree under multiple constraints. The algorithm uses random parameters of Particle swarm optimization algorithm to minimize the delay in reaching the global solution. The Simulation results show that the proposed algorithm is more effecient than the existing metaheuristic algorithms such as Genetic Algorithm, Quantum behaved Particle Swarm Optimization.
引用
收藏
页码：590 / 600
页数：11
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