UM
Solving permutation flow-shop scheduling problem by rhinoceros search algorithm
Deb, Suash; Tian, Zhonghuan; Fong, Simon; Tang, Rui; Wong, Raymond; Dey, Nilanjan
2018-09
Conference NameSOFT COMPUTING
Volume22
Issue18
Pages6025-6034
Publication Place233 SPRING ST, NEW YORK, NY 10013 USA
PublisherSPRINGER
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.
KeywordRhinoceros search algorithm Elephant search algorithm Meta-heuristic Optimization problems
DOI10.1007/s00500-018-3075-3
URLView the original
Indexed BySCI ; CPCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS IDWOS:000442576400008
The Source to ArticleWOS
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Cited Times [WOS]:4   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Deb, Suash,Tian, Zhonghuan,Fong, Simon,et al. Solving permutation flow-shop scheduling problem by rhinoceros search algorithm[C]. 233 SPRING ST, NEW YORK, NY 10013 USA:SPRINGER,2018:6025-6034.
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