A Knowledge-Based Two-Population Optimization Algorithm for Distributed Energy-Efficient Parallel Machines Scheduling

In recent years, both distributed scheduling problem and energy-efficient scheduling have attracted much attention. As the integration of these two problems, the distributed energy-efficient scheduling problem is of great realistic significance. To the best of our knowledge, the distributed energy-e...

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Veröffentlicht in:	IEEE transactions on cybernetics Jg. 52; H. 6; S. 5051 - 5063
Hauptverfasser:	Pan, Zixiao, Lei, Deming, Wang, Ling
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.06.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Distributed scheduling Energy consumption energy-efficient scheduling Evolutionary computation Genetic algorithms Job shop scheduling knowledge Knowledge based systems Optimization Parallel machines parallel machines scheduling Population Production facilities Scheduling Sorting algorithms Statistical analysis two-population
ISSN:	2168-2267, 2168-2275, 2168-2275
Online-Zugang:	Volltext
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