标题：Particle swarm-differential evolution cooperative optimized particle filter
作者：Zhao, Zengshun ;Wang, Jizhen ;Tian, Qingji ;Cao, Maoyong
作者机构：[Zhao, Zengshun ;Wang, Jizhen ;Tian, Qingji ;Cao, Maoyong ] College of Information and Electrical Engineering, Shandong University of Science and Tech 更多
来源：Proceedings of 2010 International Conference on Intelligent Control and Information Processing, ICICIP 2010
摘要：In this paper, an algorithm, a particle filter algorithm optimized by combination of particle swarm and differential evolution, is proposed. Cooperative evolution model helps to produce the reasonable problem decompositions by exploiting any correlation, interdependency between components of the problem. Particle swarm optimization and differential evolution are used to evolve interactively to drive all the particles to the neighborhood regions where the likelihoods are high. The experiments demonstrate the novel particle filter is more effective. © 2010 IEEE.