A hybrid many-objective evolutionary algorithm for flexible job-shop scheduling problem with transportation and setup times

•A hybrid many-objective evolutionary algorithm (HMEA) is proposed for the MaOFJSP_T/S.•A new mathematical model and network graph model are formulated.•A neighborhood structure with four move types is defined.•Extensive numerical experiments on 28 benchmarks have confirmed the effectiveness of the...

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Bibliographic Details
Published in:	Computers & operations research Vol. 132; p. 105263
Main Authors:	Sun, Jinghe, Zhang, Guohui, Lu, Jiao, Zhang, Wenqiang
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 01.08.2021 Pergamon Press Inc
Subjects:	Evolutionary algorithms Flexible job-shop scheduling problem Genetic algorithms Job shop scheduling Job shops Many-objective evolutionary algorithm Mathematical models Neighborhood structure Neighborhoods Operations research Reference-point Setup times Sorting algorithms Tabu search Transportation Transportation and setup times Workload Workloads Reference-point Flexible job-shop scheduling problem Transportation and setup times Many-objective evolutionary algorithm Neighborhood structure
ISSN:	0305-0548, 0305-0548
Online Access:	Get full text
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