Automatic Generation of Energy-Efficient Dispatching Rules for Dynamic Flexible Job Shop Scheduling-Reference-Cited by-同舟云学术

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Automatic Generation of Energy-Efficient Dispatching Rules for Dynamic Flexible Job Shop Scheduling

Published:2023-11-17 Issue: Volume: Page:533-538
ISSN:
Container-title:2023 China Automation Congress (CAC)
language:
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Author:

Fei Baolin¹,Xu Binzi¹,Huang Dengchao¹,Zhang Yao¹,Wang Chun²,Yang Long³

Affiliation:

1. School of Electrical Engineering, Anhui Polytechnic University,Wuhu,P. R. China,241000

2. School of Computer Science and Technology, Huaibei Normal University,Huaibei,P. R. China,235000

3. School of Computer, Jiangsu University of Science and Technology,Zhenjiang,P. R. China,2121000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450150/10449968/10451974.pdf?arnumber=10451974

Reference11 articles.

1. Automatic design of scheduling policies for dynamic flexible job shop scheduling via surrogate-assisted cooperative co-evolution genetic programming

2. Energy-Efficient Scheduling in Job Shop Manufacturing Systems: A Literature Review

3. A Review of Prediction and Optimization for Sequence-Driven Scheduling in Job Shop Flexible Manufacturing Systems

4. Automated Design of Production Scheduling Heuristics: A Review

5. A novel feature selection for evolving compact dispatching rules using genetic programming for dynamic job shop scheduling

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