Generate a Single Heuristic for Multiple Dynamic Flexible Job Shop Scheduling Tasks by Genetic Programming-Reference-Cited by-同舟云学术

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Generate a Single Heuristic for Multiple Dynamic Flexible Job Shop Scheduling Tasks by Genetic Programming

Published:2024-06-30 Issue: Volume:9 Page:1-8
ISSN:
Container-title:2024 IEEE Congress on Evolutionary Computation (CEC)
language:
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Author:

Chen Jiayin¹,Jia Ya-Hui¹,Bi Ying²,Chen Wei-Neng³

Affiliation:

1. School of Future Technology, South China University of Technology,Guangzbou,China

2. School of Electrical and Information Engineering, Zhengzhou University,Zhengzhou,China

3. School of Computer Science and Engineering, South China University of Technology,Guangzhou,China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609966/10611750/10611762.pdf?arnumber=10611762

Reference36 articles.

1. Rapid modeling and discovery of priority dispatching rules: An autonomous learning approach;Geiger,2006

2. A survey of various workflow scheduling algorithms in cloud environment;Bala,2011

3. Dynamic flexible job shop scheduling with alternative process plans: an agent-based approach

4. Job-shop scheduling with multi-purpose machines;Brucker,1991

5. Dynamic scheduling-a survey of research;Suresh,1993

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