期刊
SOFT COMPUTING
卷 17, 期 6, 页码 1019-1030出版社
SPRINGER
DOI: 10.1007/s00500-013-1015-9
关键词
Particle swarm optimization; Asynchronous PSO; Random asynchronous PSO; Large-scale optimization
This article presents a performance study on the effect of synchronicity in communications and neighborhood size in Particle Swarm Optimization (PSO) on large-scale optimization problems. The algorithms under study are the Synchronous PSO (S-PSO), the Asynchronous PSO (A-PSO), and the recently proposed Random Asynchronous PSO (RA-PSO), all of which are evaluated upon the set of benchmark functions presented at the IEEE CEC'2010 special session and competition on large-scale global optimization. Results show that RA-PSO has the best general performance in large neighborhoods, while S-PSO has the best one in small neighborhoods. Rigorous statistical analyses support our observations and provide a guideline on the performance of the algorithms under different neighborhood sizes.
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