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Vitality-based elephant search algorithm
Zhonghuan Tian1; Simon Fong1; Suash Deb2; Rui Tang1; Raymond Wong3
2018-08-18
Source PublicationOPERATIONAL RESEARCH
ABS Journal Level1
ISSN1109-2858
Volume18Issue:3Pages:841-863
Abstract

Elephant search algorithm (ESA) is one of the contemporary meta-heuristic search algorithms recently proposed. The male elephants are responsible for global exploration, roaming to new dimensions of search space. The female elephants focus on doing local search, for finding the optimal solution. A lifespan mechanism is designed to control the birth and death that all agents will have an increasing dead probability with their aging incrementally. This mechanism is set to avoid whole agents falling into local optimum and those new-born elephants will evolve by inheriting heuristic information from the ancestors. In the naive version of ESA, the search agents expire at equal probability regardless of their current locations. It is supposed that search agents who have shown to improve their solutions are more likely to continue producing better results than those mediocre agents. By this concept, a vitality-based elephant search algorithm called VESA is proposed to fine-tune the lifespan of search agents using a vitality computation mechanism that rewards the good performing agents' longer life at the expense of the mediocre agents. With the lifespan extended, the fit agents have more time to continue enhancing the solutions. Computer simulation on nine testing functions shows the VESA outperforms the naive ESA in terms of the final fitness value. A min-max based self-adaptive ratio search strategy is also proposed to help find a good gender ratio in a reasonable time.

KeywordElephant Search Algorithm Vitality Meta-heuristic Min-max Strategy
DOI10.1007/s12351-018-0419-9
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaOperations Research & Management Science
WOS SubjectOperations Research & Management Science
WOS IDWOS:000445205400014
PublisherSPRINGER HEIDELBERG
The Source to ArticleWOS
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorSimon Fong
Affiliation1.Department of Computer and Information Science, University of Macau, Taipa, Macau SAR
2.IT and Educational Consultant, Ranchi, Jharkhand 834010, India
3.School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Zhonghuan Tian,Simon Fong,Suash Deb,et al. Vitality-based elephant search algorithm[J]. OPERATIONAL RESEARCH,2018,18(3):841-863.
APA Zhonghuan Tian,Simon Fong,Suash Deb,Rui Tang,&Raymond Wong.(2018).Vitality-based elephant search algorithm.OPERATIONAL RESEARCH,18(3),841-863.
MLA Zhonghuan Tian,et al."Vitality-based elephant search algorithm".OPERATIONAL RESEARCH 18.3(2018):841-863.
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