Simulation-based deep reinforcement learning for multi-objective identical parallel machine scheduling problem
In the shipbuilding industry, traditional optimization studies based on linear programming and constraint programming have been conducted to solve mid-term or long-term scheduling problems. However, due to the extensive computational time, these methods face limitations in addressing short-term sche...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-01-01
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Series: | International Journal of Naval Architecture and Ocean Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2092678224000487 |