Home>Results

  • Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

[会议论文]

Study on the nonlinear strategy of inertia weight in particle swarm optimization

Share
Edit Delete 报错

author:

Cai, G.-R. (Cai, G.-R..) [1] | Chen, S.-L. (Chen, S.-L..) [2] | Li, S.-Z. (Li, S.-Z..) [3] | Unfold

Indexed by:

Scopus

Abstract:

Particle Swarm Optimization (PSO) as an efficient and powerful problem-solving strategy has been widely used, but the appropriate adjustment of its inertia weight usually requires a lot of time and labor. In this paper, a nonlinear variation strategy to inertia weight is presented. The results obtained through the proposed method are compared with existing PSO algorithms. Finally, the simulation results show that the proposed method can provide faster convergence and optimal solution with better accuracy. © 2008 IEEE.

Keyword:

Inertia weight; Nonlinear strategy; Particle swarm optimization

Community:

  • [ 1 ] [Cai, G.-R.]School of Science, Jimei University, Xiamen, Fjian Province, 361021, China
  • [ 2 ] [Chen, S.-L.]School of Science, Jimei University, Xiamen, Fjian Province, 361021, China
  • [ 3 ] [Li, S.-Z.]Department of Cognitive Science, Xiamen University, Xiamen, Fjian Province, 361005, China
  • [ 4 ] [Guo, W.-Z.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian Province, 360002, China

Reprint 's Address:

  • [Cai, G.-R.]School of Science, Jimei University, Xiamen, Fjian Province, 361021, China

Show more details

Source :

Proceedings - 4th International Conference on Natural Computation, ICNC 2008

Year: 2008

Volume: 7

Page: 683-687

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 6

30 Days PV: 1

Affiliated Colleges:

Online/Total:16/10071479
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1