This paper presents a multi-objective simulated annealing (MOSA) algorithm for the static problem of routing electric vehicles with limited battery capacity in a Personal Rapid Transit (PRT) system. The problem studied in this work aims to minimize both the total energy consumption and the number of vehicles used. Our algorithm uses a strategy of Pareto-dominant-based fitness to accept new solutions. The performance and computational costs of MOSA are studied on a set of randomly generated instances. Algorithm is found to be effective for the multi-objective version of the PRT problem.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multiple-Objective Simulated Annealing Optimization Approach for Vehicle Management in Personal Rapid Transit Systems


    Beteiligte:


    Erscheinungsdatum :

    2014


    Format / Umfang :

    10 Seiten





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch








    Vehicle Distribution in Large Personal Rapid Transit Systems

    Andreasson, I. / National Research Council; Transportation Research Board | British Library Conference Proceedings | 1994