UM
Gaussian guided self-adaptivewolf search algorithm based on information entropy theory
Song Q.2; Fong S.2; Deb S.3; Hanne T.1
2018
Source PublicationEntropy
ISSN10994300
Volume20Issue:1
AbstractNowadays, swarm intelligence algorithms are becoming increasingly popular for solving many optimization problems. The Wolf Search Algorithm (WSA) is a contemporary semi-swarm intelligence algorithm designed to solve complex optimization problems and demonstrated its capability especially for large-scale problems. However, it still inherits a common weakness for other swarm intelligence algorithms: that its performance is heavily dependent on the chosen values of the control parameters. In 2016, we published the Self-AdaptiveWolf Search Algorithm (SAWSA), which offers a simple solution to the adaption problem. As a very simple schema, the original SAWSA adaption is based on random guesses, which is unstable and naive. In this paper, based on the SAWSA, we investigate the WSA search behaviour more deeply. A new parameter-guided updater, the Gaussian-guided parameter control mechanism based on information entropy theory, is proposed as an enhancement of the SAWSA. The heuristic updating function is improved. Simulation experiments for the new method denoted as the Gaussian-Guided Self-Adaptive Wolf Search Algorithm (GSAWSA) validate the increased performance of the improved version of WSA in comparison to its standard version and other prevalent swarm algorithms.
KeywordEntropy-guided parameter control Self-adaptation Swarm intelligence algorithms Wolf search algorithm
DOI10.3390/e20010037
URLView the original
Language英語
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.University of Applied Sciences and Arts Northwestern Switzerland
2.Universidade de Macau
3.Victoria University Melbourne
Recommended Citation
GB/T 7714
Song Q.,Fong S.,Deb S.,et al. Gaussian guided self-adaptivewolf search algorithm based on information entropy theory[J]. Entropy,2018,20(1).
APA Song Q.,Fong S.,Deb S.,&Hanne T..(2018).Gaussian guided self-adaptivewolf search algorithm based on information entropy theory.Entropy,20(1).
MLA Song Q.,et al."Gaussian guided self-adaptivewolf search algorithm based on information entropy theory".Entropy 20.1(2018).
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Song Q.]'s Articles
[Fong S.]'s Articles
[Deb S.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Song Q.]'s Articles
[Fong S.]'s Articles
[Deb S.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Song Q.]'s Articles
[Fong S.]'s Articles
[Deb S.]'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.