Abstract:This paper proposes a new scheduling method for a marshaling in the container yard terminal. The proposed method is derived based on Q-Learning algorithm considering the desired position of containers that are to be loaded into a ship. In the method, 3 processes can be optimized simultaneously: rearrangement order of containers, layout of containers assuring explicit transfer of container to the desired position, and removal plan for preparing the rearrange operation. Moreover, the proposed method generates se… Show more
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