Login New user?  
Applied Mathematics & Information Sciences
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 
 
 

Content
 

Volumes > Volume 7 > No. 1

 
   

New clone particle swarm optimization-based particle filter algorithm and its application

PP: 171-177
Author(s)
Yuming Bo, Zhimin Chen, Jie Zhang, Jianliang Zhu,
Abstract
A new particle filter algorithm based on new Clone particle swarm optimization(NCPSO-PF) is presented in this paper in order to solve the problem of low precision and complicated calculation of particle filter based on particle swarm optimization algorithm(PSO-PF). The algorithm enables the particles to fit the environment better and then reach the goal of global optimization through orthogonal initialization, clonal selection and local searching of self-learning. Finally different models are used for simulation experiment and the results indicate that this new algorithm improves the operation speed and precision of practical engineering application.

 

Home

  About us   News   Journals   Conferences Contact us Copyright naturalspublishing.com. All Rights Reserved