Design and calibration of a DRL algorithm for solving the job shop scheduling problem under unexpected job arrivals
Author:
Funder
L@bISEN Laboratory, ISEN Yncréa Ouest
Ministry of Higher Education and Scientific Research of Tunisia
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10696-024-09540-2.pdf
Reference49 articles.
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3. Baer S, Bakakeu J, Meyes R, Meisen T (2019) Multi-agent reinforcement learning for job shop scheduling in flexible manufacturing systems. In: 2019 second international conference on artificial intelligence for industries (AI4I). IEEE, pp 22–25
4. Bagheri Rad N, Behnamian J (2023) Multi-objective collaborative job shop scheduling in a dynamic environment: non-dominated sorting memetic algorithm. J Ambient Intell Humaniz Comput 14(3):2657–2671
5. Baldea M, Harjunkoski I (2014) Integrated production scheduling and process control: a systematic review. Comput Chem Eng 71:377–390
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