A Modified Particle Swarm Optimization Based on a Chinese Archaism

Author

Chu, Yongfang ; Cui, Zhihua ; Zeng, Jianchao ; Liu, Jing

Author_Institution

Div. of Syst. Simulation & Comput. Applic., Taiyuan Univ. of Sci. & Technol., Taiyuan

fYear

2008

fDate

18-20 June 2008

Firstpage

29

Lastpage

29

Abstract

Particle swarm optimization with passive congregation (PSOPC) was a new variant by adding an attraction of passive congregation. However, the performance of PSOPC is not stable when solving the multimodal benchmarks. To overcome this shortcoming, a modified particle swarm optimization based on a Chinese archaism (PSOCA) is designed. The experimental results demonstrate much better performance of the PSOCA in solving multimodal problems than that of the PSOPC and other two variants.

Keywords

evolutionary computation; particle swarm optimisation; Chinese archaism; PSOCA; PSOPC; modified particle swarm optimization with passive congregation; multimodal benchmarks; particle swarm optimization Chinese archaism; Acceleration; Birds; Computational modeling; Computer applications; Computer simulation; Convergence; Educational institutions; Equations; Marine animals; Particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on

Conference_Location

Dalian, Liaoning

Print_ISBN

978-0-7695-3161-8

Electronic_ISBN

978-0-7695-3161-8

Type

conf

DOI

10.1109/ICICIC.2008.44

Filename

4603218