Efficient multi-objective optimization algorithm for hybrid flow shop scheduling problems with setup energy consumptions

This paper proposes an energy-aware multi-objective optimization algorithm (EA-MOA) for solving the hybrid flow shop (HFS) scheduling problem with consideration of the setup energy consumptions. Two objectives, namely, the minimization of the makespan and the energy consumptions, are considered simu...

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Veröffentlicht in:	Journal of cleaner production Jg. 181; S. 584 - 598
Hauptverfasser:	Li, Jun-qing, Sang, Hong-yan, Han, Yu-yan, Wang, Cun-gang, Gao, Kai-zhou
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 20.04.2018
Schlagworte:	algorithms energy Energy-aware Hybrid flow shop scheduling problem Multi-objective optimization Setup energy consumption Multi-objective optimization Hybrid flow shop scheduling problem Energy-aware Setup energy consumption
ISSN:	0959-6526, 1879-1786
Online-Zugang:	Volltext
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