Solution to the Flexible Job Shop Scheduling Problem using Reinforcement Learning

Yailen Martinez Jimenez, Ann Nowe, Rafael Bello, Suarez Juliett

    Onderzoeksoutput: Conference paper

    Samenvatting

    In this work we present a Reinforcement Learning approach for the Flexible Job Shop Scheduling problem. The proposed approach follows the ideas of the hierarchical approaches and combines learning and optimization in order to achieve better results. Several problem instances were used to test the algorithm and to compare the results with those reported by previous approaches.
    Originele taal-2English
    TitelProceedings of the 14th International Convention and Fair Informatica 2011
    Aantal pagina's7
    StatusPublished - feb 2011
    EvenementUnknown - Stockholm, Sweden
    Duur: 21 sep 200925 sep 2009

    Publicatie series

    NaamProceedings of the 14th International Convention and Fair Informatica 2011

    Conference

    ConferenceUnknown
    Land/RegioSweden
    StadStockholm
    Periode21/09/0925/09/09

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