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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Vydané v:	Journal of cleaner production Ročník 181; s. 584 - 598
Hlavní autori:	Li, Jun-qing, Sang, Hong-yan, Han, Yu-yan, Wang, Cun-gang, Gao, Kai-zhou
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 20.04.2018
Predmet:	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
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