Title :
Improving Particle Swarm Optimization Algorithm with Mutation Strategy
Author :
Cen, Yusen ; Xiong, Fangmin
Author_Institution :
Sch. of Comput. Sci., Zhaoqing Univ., Zhaoqing, China
Abstract :
Adopt the concept of mutation in Genetic Algorithm to improve Particle Swarm Optimization. The experimental results show tow advantages for the mutation strategies. Firstly, It´s workable for the algorithm and the performance was superior to fuzzy PSO and hybrid PSO; Secondly, the agitation strategy was more flexible.
Keywords :
fuzzy set theory; genetic algorithms; particle swarm optimisation; agitation strategy; fuzzy PSO; genetic algorithm; hybrid PSO; mutation strategy; particle swarm optimization; Classification algorithms; Computers; Genetics; Optimization; Particle swarm optimization; Presses;
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
DOI :
10.1109/ICEEE.2010.5660711
