In this study, the bees trapliningTraplining metaphor was adopted for the Bees AlgorithmBees Algorithm, THE (BA) and the Combinatorial Bees AlgorithmBees Algorithm (BAC) and applied to solve the vehicle routing problemVehicle routing problem. The two-parameter Continuous and Combinatorial Bees Algorithms (BA2 and BAC2), equipped with a trapliningTrapliningmetaphor intensifierIntensifier, Bees Routing OptimiserBees routing optimiser (BRO), were used to solve the capacitated vehicle routing problemVehicle routing problem with a decompositionDecomposition approach. In the first phase of the proposed method, the two-parameter Bees Algorithm (BA2) was employed to solve the capacitated facility location problem, resulting in clusters of customers that did not violate the vehicles’ capacity. Then, BAC2 combined with BROBees routing optimiser was used to produce the routing plan for each cluster. BA2 and BAC2 implement the trapliningTrapliningforagingForaging point technique of beesBees, which integrates their exploratory and exploitative search mechanisms, to simplify parameterParameters setting and use their threat avoidance tactics to intensify the solution. The results of comparisons with other BA versions indicate that the proposed algorithm improves the accuracy of the basic version by at least 4% while speeding it up fourfold.


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    Title :

    Bees Traplining Metaphors for the Vehicle Routing Problem Using a Decomposition Approach


    Additional title:

    Springer Ser.Advanced Manufacturing


    Contributors:


    Publication date :

    2022-11-20


    Size :

    27 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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