Deep Reinforcement Learning for Solving Job Shop Scheduling Problems
碩士 === 國立交通大學 === 工業工程與管理系所 === 107 === In the past decades, many optimization methods have been devised and applied to job shop scheduling problem (JSSP) to find the optimal solution. Most methods assume that the scheduling results are applied to static environments. However, the whole environments...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/6zcee3 |