Title :
A Novel Hybrid QoS Multicast Routing Based on Clonal Selection and Artificial Fish Swarm Algorithm
Author :
Huang, Rentian ; Tawfik, Hissam ; Nagar, Atulya ; Abbas, Ghulam
Author_Institution :
Deanery of Bus. & Comput. Sci., Liverpool Hope Univ., Liverpool, UK
Abstract :
The paper presents a QoS multicast routing algorithm based on clonal selection and artificial fish swarm algorithms (CSA-AFSA). The hybrid algorithms reasonably use the superiorities of both algorithms and try to overcome their inherent drawbacks. An improved initialization method is used to make sure each individual in initial population is a reasonable multicast tree without loops. The simulation carried out with different network scale. For performance comparison, ant colony optimization (ACO) algorithm and genetic algorithm (GA) also been tested. The results have demonstrated the hybrid algorithm has high speed of convergence and searching capability to solve QoS multicast routing effectively.
Keywords :
genetic algorithms; multicast communication; quality of service; telecommunication network routing; trees (mathematics); CSA-AFSA; ant colony optimization; artificial fish swarm algorithm; clonal selection; genetic algorithm; hybrid QoS multicast routing; initialization method; multicast tree; Marine animals; Multicast algorithms; Routing; Artificial Fish Swarm; Clonal Selection; Quality of Service;
Conference_Titel :
Developments in eSystems Engineering (DESE), 2009 Second International Conference on
Conference_Location :
Abu Dhabi
Print_ISBN :
978-1-4244-5401-3
Electronic_ISBN :
978-1-4244-5402-0
DOI :
10.1109/DeSE.2009.61
