A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines

•Energy-efficient job-shop scheduling with deteriorating machines is studied.•Green production and tardiness related objectives are considered.•A multi-population, multi-objective memetic algorithm is proposed for the problem.•The proposed algorithm exhibits superior performance across a range of me...

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Veröffentlicht in:	Expert systems with applications Jg. 157; S. 113348
Hauptverfasser:	Abedi, Mehdi, Chiong, Raymond, Noman, Nasimul, Zhang, Rui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.11.2020 Elsevier BV
Schlagworte:	Algorithms Cumulative deterioration effect Deterioration Energy consumption Energy efficiency Job shop scheduling Job shops Machine speed scaling Maintenance Maintenance activity Memetic algorithm Optimization Performance measurement Periodic local search Schedules Scheduling Searching Sequences Solution space Cumulative deterioration effect Periodic local search Maintenance activity Memetic algorithm Machine speed scaling Job-shop scheduling
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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