GPU based parallel genetic algorithm for solving an energy efficient dynamic flexible flow shop scheduling problem

Due to new government legislation, customers’ environmental concerns and continuously rising cost of energy, energy efficiency is becoming an essential parameter of industrial manufacturing processes in recent years. Most efforts considering energy issues in scheduling problems have focused on stati...

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Bibliographic Details

Published in:	Journal of parallel and distributed computing Vol. 133; pp. 244 - 257
Main Authors:	Luo, Jia, Fujimura, Shigeru, El Baz, Didier, Plazolles, Bastien
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.11.2019 Elsevier
Subjects:	Computer Science Distributed, Parallel, and Cluster Computing Dynamic scheduling Energy efficiency Flexible flow shop GPU Computing Hybrid parallel genetic algorithm GPU Computing Dynamic scheduling Hybrid parallel genetic algorithm Energy efficiency Flexible flow shop
ISSN:	0743-7315, 1096-0848
Online Access:	Get full text
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