The green vehicle routingGreen vehicle routingproblemVehicle routing problem (GVRP) aims to find a set of vehicle tours that minimise the total distance travelled to service a subset of customers while incorporating stops at alternative fuel stations because of the vehicle's limited fuel capacity. This is the first study to investigate using the Bees AlgorithmBees algorithm to find a solution to the GVRP. The aim is to apply the Bees AlgorithmBees algorithm to the GVRP and compare the results of six optimisationOptimisationalgorithmsAlgorithms. A grid searchGrid search was used to find the best parameters of the algorithmsAlgorithms. For a fair comparison, the same number function of evaluation was used as the stopping criterion for all algorithmsAlgorithms in this study. Statistical analysisStatistical analysis is used to evaluate the performance of the algorithmsAlgorithms. The results demonstrate that the Bees AlgorithmBees algorithm outperforms other algorithmsAlgorithms and can find near-optimal solutions.


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    Titel :

    Green Vehicle Routing Optimisation Using the Bees Algorithm


    Weitere Titelangaben:

    Springer Ser.Advanced Manufacturing


    Beteiligte:
    Pham, D. T. (Herausgeber:in) / Hartono, Natalia (Herausgeber:in) / Satpathy, Aryan (Autor:in) / Das, Millon Madhur (Autor:in) / Hartono, Natalia (Autor:in) / Pham, D. T. (Autor:in)


    Erscheinungsdatum :

    11.11.2024


    Format / Umfang :

    23 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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