Title :
Weighted Center Particle Swarm Optimization
Author :
Hu Baokun ; Liu Yusheng ; Gao Shuming ; Sun Rui ; Cao Yue
Author_Institution :
Sate Key Lab. Of CAD&CG, Zhejiang Univ., Hangzhou
Abstract :
A new particle swarm optimization method is put forward in this paper, the proposed approach improves the basic PSO in two aspects: 1) the exclusive gbest is replaced by the weighted center of the whole swarm, which is more stable and proved to be closer to the really optimum position in the searching space; 2) the particle can adjust speed adaptively according to the environment to fly slower in bumpy area and faster in flat area.
Keywords :
particle swarm optimisation; PSO; bumpy area; flat area; weighted center particle swarm optimization; Birds; Constraint optimization; Electronic mail; Equations; Marine animals; Particle swarm optimization; Space exploration; Sun; Topology; Velocity control;
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
DOI :
10.1109/IWISA.2009.5073237
