Status已發表Published
Some remarks on the deterministic particle swarm optimization algorithm
Wang, J.X.; Xu, Q. W.; Qin, Q.
2017-08-01
Source PublicationMathematically Methods in Applied Sciences
ISSN1099-1476
Pages1870-1875
AbstractIn this paper, we give a simple proof for the convergence of the deterministic particle swarm optimization algorithm under the weak chaotic assumption and remark that the weak chaotic assumption does not relax the stagnation assumption in essence. Under the spectral radius assumption,we propose a convergence criterion for the deterministic particle swarm optimization algorithm in terms of the personal best and neighborhood best position of the particle that incorporates the stagnation assumption or the weak chaotic assumption as a special case.
Keywordconvergence deterministic PSO spectral radius
Language英語English
The Source to ArticlePB_Publication
PUB ID35675
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorWang, J.X.
Recommended Citation
GB/T 7714
Wang, J.X.,Xu, Q. W.,Qin, Q.. Some remarks on the deterministic particle swarm optimization algorithm[J]. Mathematically Methods in Applied Sciences, 2017, 1870-1875.
APA Wang, J.X.., Xu, Q. W.., & Qin, Q. (2017). Some remarks on the deterministic particle swarm optimization algorithm. Mathematically Methods in Applied Sciences, 1870-1875.
MLA Wang, J.X.,et al."Some remarks on the deterministic particle swarm optimization algorithm".Mathematically Methods in Applied Sciences (2017):1870-1875.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang, J.X.]'s Articles
[Xu, Q. W.]'s Articles
[Qin, Q.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang, J.X.]'s Articles
[Xu, Q. W.]'s Articles
[Qin, Q.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang, J.X.]'s Articles
[Xu, Q. W.]'s Articles
[Qin, Q.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.