Title :
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
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;
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
DOI :
10.1109/ICICIC.2008.44
