A digital twin-based decision support approach for AGV scheduling
The dynamic and complex environment affects the operational efficiency of automated guided vehicles (AGVs) at automated container terminals, in which artificial intelligent approaches are applied to address optimization problems in dynamic systems. This paper proposes a digital twin-based decision s...
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Main Authors: | , , , |
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其他作者: | |
格式: | Article |
語言: | English |
出版: |
2024
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在線閱讀: | https://hdl.handle.net/10356/176062 |
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機構: | Nanyang Technological University |
語言: | English |