Simulation Based Multi-Objective Fab Scheduling by Using Reinforcement Learning-Reference-Cited by-同舟云学术

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Simulation Based Multi-Objective Fab Scheduling by Using Reinforcement Learning

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 Winter Simulation Conference (WSC)
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Author:

Lee Won-Jun,Kim Byung-Hee,Ko Keyhoon,Shin Hayong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8977453/9004651/09004886.pdf?arnumber=9004886

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Locating algorithm of steel stock area with asynchronous advantage actor-critic reinforcement learning;Journal of Computational Design and Engineering;2023-12-28

2. Dispatching in Real Frontend Fabs With Industrial Grade Discrete-Event Simulations by Deep Reinforcement Learning with Evolution Strategies;2023 Winter Simulation Conference (WSC);2023-12-10

3. Optimizing Dispatching Strategies for Semiconductor Manufacturing Facilities with Genetic Programming;Proceedings of the Genetic and Evolutionary Computation Conference;2023-07-12

4. Practical Reinforcement Learning for Adaptive Photolithography Scheduler in Mass Production;IEEE Transactions on Semiconductor Manufacturing;2023

5. A GA-based Optimization of a Weighted Lot Targeting Rule in a Semiconductor Wafer Fab;Journal of the Korean Institute of Industrial Engineers;2022-10-15

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