Particle filter resampling based on optimized combinatorial algorithm

doi:10.1109/ITiME.2011.6132049

IR > 计算机与通信学院

	Particle filter resampling based on optimized combinatorial algorithm
	Li, Rui; Mao, Li; Zhang, Jiurui
	2011
会议名称	2011 IEEE International Symposium on IT in Medicine and Education, ITME 2011
会议录名称	ITME 2011 - Proceedings: 2011 IEEE International Symposium on IT in Medicine and Education
卷号	2
页码	27-30
会议日期	December 9, 2011 - December 11, 2011
会议地点	Guangzhou, China
出版者	IEEE Computer Society
摘要	In particle Alter algorithm, the resampling step effectively solves the problem of particles degeneracy; however, it reduces the particle variety. This article describes how to use chaos, immunity algorithm and genetic algorithm carried on particle resampling corrective method. We present a novel algorithm which combines immune algorithm, chaos and genetic algorithm. This immune genetic algorithm based on chaos initializes cluster by the over-spread character and randomicity of chaos to improve search speed and renews cluster by chaos sequence and enhancing cluster diversity to avoid local optimization. Chaos also is adopts to optimize the local optimization to increase precision. After crossover and mutation, using chaotic local optimization near the optimal solution to enhance the precision of the solutions. The experimental results show that it has the quicker convergence rate and the better iterative estimating capability, compared with the particle resampling based on the immunity genetic algorithm. © 2011 IEEE.
关键词	Chaos theory Genetic algorithms Iterative methods Monte Carlo methods Combinatorial algorithm Crossover and mutation Immune algorithms Immune genetic algorithms Immunity algorithms Local optimizations Particle Filtering Resampling
DOI	10.1109/ITiME.2011.6132049
收录类别	EI
语种	英语
EI入藏号	20120714767862
EI主题词	Clustering algorithms
来源库	Compendex
分类代码	903.1 Information Sources and Analysis - 921 Mathematics - 921.6 Numerical Methods - 922 Statistical Methods - 922.2 Mathematical Statistics - 961 Systems Science
引用统计	无
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/116260
专题	计算机与通信学院
作者单位	School of Computer and Communication, LanZhou University of Technology, LanZhou, China
第一作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Li, Rui,Mao, Li,Zhang, Jiurui. Particle filter resampling based on optimized combinatorial algorithm[C]:IEEE Computer Society,2011:27-30.