DocumentCode
3416392
Title
Multi-swarm cooperation optimization for multi-modal functions in repulsive potential field
Author
Tang, Qin ; Shen, Yi ; Hu, Chengyu ; Zeng, Jianyou
Author_Institution
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2011
fDate
19-21 Oct. 2011
Firstpage
70
Lastpage
74
Abstract
In this paper, an advanced PSO has been proposed to solve multi-modal functions optimization. Multiple swarms are used to optimize parallel search and artificial repulsive potential field on local points are set up to prevent multiple swarm converging to the same place and repeatedly search. In addition, this paper provides a theoretical basis for the strategy of multi-swarm parallel search used in the advanced algorithm. Finally, the method is tested on some benchmark functions and the results show a superior performance compared to the others PSO variant.
Keywords
particle swarm optimisation; search problems; advanced PSO; multimodal functions optimization; multiswarm cooperation optimization; multiswarm parallel search; repulsive potential field; Benchmark testing; Convergence; Educational institutions; Geology; Optimization; Particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-61284-374-2
Type
conf
DOI
10.1109/IWACI.2011.6159977
Filename
6159977
Link To Document