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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Evolutionary intelligence Ročník 14; číslo 4; s. 1581 - 1595
Hlavní autori:	Kurniawan, Bobby, Song, Wen, Weng, Wei, Fujimura, Shigeru
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2021 Springer Nature B.V
Predmet:	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 prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!