An Effective Cooperative Co-Evolutionary Algorithm for Distributed Flowshop Group Scheduling Problems

This article addresses a novel scheduling problem, a distributed flowshop group scheduling problem, which has important applications in modern manufacturing systems. The problem considers how to arrange a variety of jobs subject to group constraints at a number of identical manufacturing cellulars,...

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Veröffentlicht in:	IEEE transactions on cybernetics Jg. 52; H. 7; S. 1 - 14
Hauptverfasser:	Pan, Quan-Ke, Gao, Liang, Wang, Ling
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.07.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Acceleration Automation Collaboration Computational modeling Cooperation Cooperative co-evolutionary algorithm (CCEA) distributed flowshop Evolutionary algorithms Genetic algorithms Heuristic methods Integer programming Job shop scheduling Job shops Linear programming makespan Manufacturing Mixed integer Optimization Particle swarm optimization Processor scheduling Scheduling
ISSN:	2168-2267, 2168-2275, 2168-2275
Online-Zugang:	Volltext
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