Affiliations: [a] Faculty of Computer Science and Engineering, Wuhan Institute of Technology, Hubei, Wuhan 430205, China | [b] Center of Network and Educational Technology, China University of Geosciences, Hubei, Wuhan 430074, China | [c] Wuhan Institute of Ship Building Technology, Wuhan, Hubei 430050, China | [d] School of Computer Science, China University of Geosciences, Wuhan, Hubei 430074, China
Correspondence:
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Corresponding author: Hanmin Liu, Wuhan Institute of Ship Building Technology, Wuhan, Hubei 430050, China. Tel.: +86 18908632572; E-mail: yanxs1999@126.com.
Abstract: Through the researches on various item improvements of particle swarm optimization algorithm, the improved particle swarm optimization algorithm is proposed for the insufficient global searching ability. This paper has improved the parameters of velocity formula and introduced new distance calculation formula to modify various parameters in the velocity formula. The improved particle swarm optimization algorithm has been tested by adopting standard test function, and the result has been compared with other particle swarm optimization algorithms. The experimental result indicated that the proposed improved particle swarm optimization algorithm in this paper got the better result for function optimization problems.
