A Q-Learning for Group-Based Plan of Container Transfer Scheduling

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概要

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• In container yard terminals, containers brought by trucks arrive in the random order. Since each container has its own destination and it cannot be rearranged after shipping, containers have to be loaded into a ship in a certain order. Therefore, containers have to be rearranged from the initial arrangement into the desired arrangement before shipping. In the problem, the number of container-arrangements increases by the exponential rate with increase of total count of containers. Therefore, conventional methods have great difficulties to determine desirable movements of containers in order to reduce the run time for shipping. In this paper, a Q-Learning algorithm based on the number of container-movements for the material handling in the container yard terminal is proposed. In the proposed method, each container has several desired positions, so that the learning performance can be improved. In order to show effectiveness of the proposed method, simulations for several examples are conducted.

• 一般社団法人日本機械学会の論文
• 2006-06-15

著者

• INOUE Akira

  Department of Marine Bioresources Chemistry, Faculty of Fisheries, Hokkaido University

• Takeda Kazuhiro

  Hiroshima Research & Development Center Mitsubishi Heavy Industries Ltd.

• HIRASHIMA Yoichi

  Department of Systems Engineering, Okayama University

• HARADA Shigeaki

  Department of Systems Engineering, Okayama University

• DENG Mingcong

  Department of Systems Engineering, Okayama University

• Inoue Akira

  Department Of Marine Bioresources Chemistry Faculty Of Fisheries Hokkaido University

• Deng Mingcong

  Department Of Systems Engineering Okayama University

• Hirashima Yoichi

  Department Of Systems Engineering Okayama University

• Harada Shigeaki

  Department Of Systems Engineering Okayama University

• Inoue Akira

  Department Of Systems Engineering Okayama University

• Inoue Akira

  Department Of Biochemistry Osaka City University Medical School

• Inoue Akira

  Department of Applied Chemistry, Faculty of Engineering, Toyo University:Bio-Nano Electronics Research Center, Toyo University

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