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A Multi-Population Brkga For Energy-Efficient Job Shop Scheduling With Speed Adjustable Machines

AuthID
P-00X-XV2

Author(s)

Homayouni, SM

Fontes, DBMM

Fontes, FACC

Editor(s)

Gaspero,L;Festa,P;Nakib,A;Pavone,M

Document Type

Proceedings Paper

Year published

2023

Published

in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 0302-9743

Volume: 13838 LNCS, Pages: 513-518

Conference

14Th Metaheuristics International Conference, Mic 2022, Date: 11 July 2022 through 14 July 2022

Indexing

Scopus^®

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Metadata
Sources

Publication Identifiers

DOI: 10.1007/978-3-031-26504-4_41

Scopus: 2-s2.0-85149657248

Source Identifiers

ISSN: 0302-9743

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A Multi-Population Brkga For Energy-Efficient Job Shop Scheduling With Speed Adjustable Machines

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