A novel teaching-learning-based optimization algorithm for energy-efficient scheduling in hybrid flow shop
Year of publication: |
April 2018
|
---|---|
Authors: | Lei, Deming ; Gao, Liang ; Zheng, Youlian |
Published in: |
IEEE transactions on engineering management : EM. - New York, NY : IEEE, ISSN 0018-9391, ZDB-ID 160438-7. - Vol. 65.2018, 2, p. 330-340
|
Subject: | Hybrid flow shop | multiobjective optimization | scheduling | teaching-learning-based optimization (TLBO) | total energy consumption (TEC) | Energieeinsparung | Energy conservation | Verhalten in Organisationen | Organizational behaviour | Scheduling-Verfahren | Scheduling problem | Energiekonsum | Energy consumption | Mathematische Optimierung | Mathematical programming | Durchlaufzeit | Lead time |
-
Schulz, Sven, (2020)
-
Li, Peize, (2023)
-
Energy-efficient scheduling for a hybrid flow shop problem while considering multi-renewable energy
Chen, Weidong, (2024)
- More ...
-
Lei, Deming, (2017)
-
A genetic algorithm for flexible job shop scheduling with fuzzy processing time
Lei, Deming, (2010)
-
Lei, Deming, (2011)
- More ...