HighlightsA multi-objective optimization model is designed for multi-period dynamic emergency resource scheduling (ERS) problems.MOEA/D-mdERSis proposed to solve the designed modelbased on the properties of multi-period dynamic ERS problems.The experimental results show that MOEA/D-mdERS can find a set of better candidate solutions than NSGA-II.

    AbstractThe resource distribution in post-disaster is an important part of emergency resource scheduling. In this paper, we first design a multi-objective optimization model for multi-period dynamic emergency resource scheduling (ERS) problems. Then, using the framework of multi-objective evolutionary algorithm based on decomposition (MOEA/D), an MOEA is proposed to solve this model. In the proposed algorithm, new evolutionary operators are designed with the intrinsic properties of multi-period dynamic ERS problems in mind. The experimental results show that the proposed algorithm can get a set of better candidate solutions than the non-dominated sorting genetic algorithm II (NSGA-II).


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    Titel :

    A multi-objective evolutionary algorithm for multi-period dynamic emergency resource scheduling problems


    Beteiligte:
    Zhou, Yawen (Autor:in) / Liu, Jing (Autor:in) / Zhang, Yutong (Autor:in) / Gan, Xiaohui (Autor:in)


    Erscheinungsdatum :

    2016-12-24


    Format / Umfang :

    19 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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