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 :
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