Learning per-machine linear dispatching rule for heterogeneous multi-machines control
Author:
Affiliation:
1. Department of Industrial and Systems Engineering, KAIST, Daejeon, Republic of Korea
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.1942283
Reference37 articles.
1. Co-evolutionary genetic algorithm for multi-machine scheduling: Coping with high performance variability
2. Hyper-heuristic Evolution of Dispatching Rules: A Comparison of Rule Representations
3. Automated Design of Production Scheduling Heuristics: A Review
4. A Classification of Hyper-heuristic Approaches
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