Title :
Probability Diffused Particle Swarm Optimization
Author :
Qin, Qiuyan ; Cui, Zhihua ; Zeng, Jianchao
Author_Institution :
Complex Syst. & Comput. Intell. Lab., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
Abstract :
Premature convergence is a major problem of Particle Swarm Optimization (PSO).Although many strategies have been proposed, there is still some work needed to do in high-dimensional cases. To overcome this shortcoming, a diffused velocity update equation is designed aiming to improve the population diversity with a c. Simulation results show the performance of this new variant is superior to other two previous modifications when dealing with multi-modal high-dimensional benchmark functions.
Keywords :
convergence; particle swarm optimisation; probability; diffused velocity update equation; particle swarm optimization; population diversity; premature convergence; probability; Birds; Computational intelligence; Convergence; Equations; Evolution (biology); Genetic mutations; Hybrid intelligent systems; Laboratories; Marine animals; Particle swarm optimization; Particle Swarm Optimization; diffuse coefficient; probability threshold;
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
DOI :
10.1109/HIS.2009.85