Distributed-elite local search based on a genetic algorithm for bi-objective job-shop scheduling under time-of-use tariffs

The rapid growth of electricity demand has led governments around the world to implement energy-conscious policies, such as time-of-use tariffs. The manufacturing sector can embrace these policies by implementing an innovative scheduling system to reduce its energy consumption. Therefore, this study...

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Vydáno v:	Evolutionary intelligence Ročník 14; číslo 4; s. 1581 - 1595
Hlavní autoři:	Kurniawan, Bobby, Song, Wen, Weng, Wei, Fujimura, Shigeru
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2021 Springer Nature B.V
Témata:	Applications of Mathematics Artificial Intelligence Bioinformatics Control Electric power demand Energy consumption Energy costs Engineering Genetic algorithms Job shop scheduling Job shops Manufacturing Mathematical and Computational Engineering Mechatronics Perturbation Research Paper Robotics Searching Statistical Physics and Dynamical Systems Tariffs Time of use electricity pricing Electricity cost Time-of-use tariffs Bi-objective job shop scheduling Genetic algorithm Total weighted tardiness
ISSN:	1864-5909, 1864-5917
On-line přístup:	Získat plný text
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