Real-time stochastic flexible flow shop scheduling in a credit factory with model-based reinforcement learning-Reference-Cited by-同舟云学术

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Real-time stochastic flexible flow shop scheduling in a credit factory with model-based reinforcement learning

Published:2024-06-07 Issue: Volume: Page:1-20
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Chen Liao¹²,Liu Hongjia¹²,Jia Ning¹²,Ren Nianlu¹²,Cui Runbang³,Wei Wei³

Affiliation:

1. College of Management and Economics, Tianjin University, Tianjin, People's Republic of China

2. Laboratory of Computation and Analytics of Complex Management Systems (CACMS), Tianjin University, Tianjin, People's Republic of China

3. Beijing Fantastic Technology Co., Ltd., AI lab, Beijing, People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2024.2361441

Reference45 articles.

1. Arulkumaran Kai Antoine Cully and Julian Togelius. 2019. “Alphastar: An evolutionary computation perspective.” In Proceedings of the Genetic and Evolutionary Computation Conference Companion 314–315. Prague.

2. Sequencing Rules and Due-Date Assignments in a Job Shop

3. Heuristic solution methods for the stochastic flow shop problem

4. Random Search for Hyper-Parameter Optimization;Bergstra James;Journal of Machine Learning Research,2012

5. Deep Reinforcement Learning for Dynamic Flexible Job Shop Scheduling with Random Job Arrival;Chang Jingru;Processes,2022

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