UM
Solving permutation flow-shop scheduling problem by rhinoceros search algorithm
Deb S.1; Tian Z.3; Fong S.3; Tang R.3; Wong R.5; Dey N.2
2018-09-01
Source PublicationSoft Computing
ISSN14337479 14327643
Volume22Issue:18Pages:6025-6034
AbstractIn this paper, a novel meta-heuristic search algorithm inspired by rhinoceros’ natural behaviour is proposed, namely rhinoceros search algorithm (RSA). Similar to our earlier version called elephant search algorithm, RSA simplifies certain habitual characteristics of rhinoceros and stream-lines the search operations, thereby reducing the number of operational parameters required to configure the model. Via computer simulation, it is shown that RSA is able to outperform certain classical meta-heuristic algorithms. Different dimensions of optimization problems are tested, and good results are observed by RSA. The RSA is also implemented on permutation flow-shop scheduling problem (PFSP) with some representation method. Four different problem scales are used. Compared with partible swarm optimization (PSO) on PFSP, the RSA outperforms PSO on different problem scales with a 3% improvement.
KeywordElephant search algorithm Meta-heuristic Optimization problems Rhinoceros search algorithm
DOI10.1007/s00500-018-3075-3
URLView the original
Language英語
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Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.IT and Educational Consultant
2.Techno India College of Technology
3.Universidade de Macau
4.Victoria University Melbourne
5.University of New South Wales (UNSW) Australia
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GB/T 7714
Deb S.,Tian Z.,Fong S.,et al. Solving permutation flow-shop scheduling problem by rhinoceros search algorithm[J]. Soft Computing,2018,22(18):6025-6034.
APA Deb S.,Tian Z.,Fong S.,Tang R.,Wong R.,&Dey N..(2018).Solving permutation flow-shop scheduling problem by rhinoceros search algorithm.Soft Computing,22(18),6025-6034.
MLA Deb S.,et al."Solving permutation flow-shop scheduling problem by rhinoceros search algorithm".Soft Computing 22.18(2018):6025-6034.
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