MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times

This paper addresses the flexible job shop scheduling problem with controllable processing times (FJSP-CPT). The objective is to simultaneously minimize makespan and total energy consumption. To solve the problem, a mixed integer linear programming (MILP) model is developed, and then the epsilon met...

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Veröffentlicht in:	Swarm and evolutionary computation Jg. 82; S. 101374
Hauptverfasser:	Meng, Leilei, Zhang, Chaoyong, Zhang, Biao, Gao, Kaizhou, Ren, Yaping, Sang, Hongyan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2023
Schlagworte:	Controllable processing times Energy consumption Flexible job shop scheduling problem Mixed integer linear programming Postponing strategy Shuffled frog-leaping algorithm Turning Off/On strategy Flexible job shop scheduling problem Energy consumption Controllable processing times Postponing strategy Mixed integer linear programming Shuffled frog-leaping algorithm Turning Off/On strategy
ISSN:	2210-6502
Online-Zugang:	Volltext
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