Title :
A modified particle swarm optimization algorithm
Author :
Zhang, Qian-Li ; Li, Xing ; Tran, Quang-Ahn
Author_Institution :
CERNET Center, Tsinghua Univ., Beijing, China
Abstract :
A modified particle swarm optimization (PSO) algorithm is proposed in this paper to avoid premature convergence with the introduction of mutation operation. The performance of this algorithm is compared to the standard PSO algorithm and experiments indicate that it has better performance with little overhead.
Keywords :
evolutionary computation; particle swarm optimisation; evolutionary computation; mutation operation; particle swarm optimization; premature convergence avoidance; swarm intelligence; Algorithm design and analysis; Computational modeling; Convergence; Evolutionary computation; Genetic algorithms; Genetic mutations; Machine learning algorithms; Multidimensional systems; Particle swarm optimization; Velocity control; Evolutionary computation; Particle Swarm Optimization (PSO); Swarm intelligence;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527455
