An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
General Mathematics,General Computer Science
Reference47 articles.
1. A knowledge-based cooperative algorithm for energy-efficient scheduling of distributed flow-shop;Wang;IEEE Trans. Syst. Man Cybern. Syst.,2018
2. A new vision of approximate methods for the permutation flow shop to minimize makespan: State-of-the-art and computational evaluation;Fernandez-Viagas;Eur. J. Oper. Res.,2016
3. An improved artificial bee colony algorithm for real-world hybrid flow shop rescheduling in steelmaking-refining continuous casting process;Peng;Comput. Ind. Eng.,2018
4. Real-time scheduling for reentrant hybrid flow shops: a decision tree based mechanism and its application to a TFT-LCD line;Choi;Expert Syst. Appl.,2011
5. Simplification methods for accelerating simulation-based real-time scheduling in a semiconductor wafer fabrication facility;Kim;IEEE Trans. Semicond. Manuf.,2003
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