4B3 OPTIMUM SCHEDULING SYSTEM USING PETRI-NET AND REINFORCEMENT LEARNING FOR JSP BENCHMARKS(Technical session 4B: Practical systems)
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概要
- 論文の詳細を見る
This paper proposes a new scheduling system by using petri-nets and reinforcement learning. The schedule is made by firing sequence of a petri-net. The agent's state which has configured the solutions is dynamically generated by searching with the reachability tree of petri-net. The firing sequence value is estimated by ε-soft policy MC(Monte Carlo) method and, as a result, a short range schedule is obtained. It is verified that the optimum solution can be obtained about the la34 benchmark.
- 一般社団法人日本機械学会の論文
- 2011-07-02
著者
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Kitamura Akira
Department Of Anesthesia Nippon Medical School
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Kitamura Akira
Department of Information and Electronics Graduate School of Engineering, Tottori University
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Irifune Takahiro
Department of Information and Electronics Graduate School of Engineering, Tottori University
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- 4B3 OPTIMUM SCHEDULING SYSTEM USING PETRI-NET AND REINFORCEMENT LEARNING FOR JSP BENCHMARKS(Technical session 4B: Practical systems)