Online optimization of AGV transport system using deep reinforcement learning

DOI

Bibliographic Information

Other Title
  • 深層強化学習を用いたAGV搬送システムのオンライン最適化

Abstract

<p>Recently, many of the manufacturing systems adopt AGV(Automated Guided Vehicle) to respond to diversifying needs in the manufacturing industry. However, it is difficult to solve the optimization problem of the AGV transport system by using mathematical optimization. In this study, we use Deep Q Network, one of the method of deep reinforcement learning, to optimize AGV transport system. After train the neural network that decide the behavior of the AGVs by the simulation of practice model, evaluate it by comparing with the result of rule-based simulation and applying trained neural network to the testing model.</p>

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Details 詳細情報について

  • CRID
    1390848250119840768
  • NII Article ID
    130007857417
  • DOI
    10.11517/pjsai.jsai2020.0_4rin184
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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