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Application of Grey Wolf Optimization for Solving Combinatorial Problems: Job Shop and Flexible Job Shop Scheduling Cases

Grey wolf optimization (GWO) algorithm is a new population-oriented intelligence algorithm, which is originally proposed to solve continuous optimization problems inspired from the social hierarchy and hunting behaviors of grey wolves. It has been proved that GWO can provide competitive results comp...

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Hlavní autoři: Tianhua Jiang, Chao Zhang
Médium: Artigo
Jazyk:Inglês
Vydáno: IEEE 2018-01-01
Edice:IEEE Access
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On-line přístup:https://ieeexplore.ieee.org/document/8355479/
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