Title :
Particle Swarm Optimization with Escape Velocity
Author :
Wang, Xiuli ; Wang, Yongji ; Zeng, Haitao ; Zhou, Hui
Abstract :
This paper presents a model of particle swarm optimization with escape velocity (EVPSO) in order to overcome premature convergence in the basic particle swarm optimization (PSO). The EVPSO model equips particles with the escape velocity to avoid them trapping into local minima and increase the diversity of population. A simulation study shows that the EVPSO outperforms the basic PSO, especially for high dimension function. The EVPSO model facilitates solving multi-modal optimization problems
Keywords :
evolutionary computation; particle swarm optimisation; escape velocity; evolutionary algorithm; multimodal optimization; particle swarm optimization; Clustering algorithms; Convergence; Equations; Evolutionary computation; Optimization methods; Particle swarm optimization; Performance loss;
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
DOI :
10.1109/ICCIAS.2006.294176
