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Optimal Routing for Heterogeneous Fixed Fleets of Multicompartment Vehicles

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  • Qian Wang
  • Qingkai Ji
  • Chun-Hung Chiu

Abstract

We present a metaheuristic called the reactive guided tabu search (RGTS) to solve the heterogeneous fleet multicompartment vehicle routing problem (MCVRP), where a single vehicle is required for cotransporting multiple customer orders. MCVRP is commonly found in delivery of fashion apparel, petroleum distribution, food distribution, and waste collection. In searching the optimum solution of MCVRP, we need to handle a large amount of local optima in the solution spaces. To overcome this problem, we design three guiding mechanisms in which the search history is used to guide the search. The three mechanisms are experimentally demonstrated to be more efficient than the ones which only apply the known distance information. Armed with the guiding mechanisms and the well-known reactive mechanism, the RGTS can produce remarkable solutions in a reasonable computation time.

Suggested Citation

  • Qian Wang & Qingkai Ji & Chun-Hung Chiu, 2014. "Optimal Routing for Heterogeneous Fixed Fleets of Multicompartment Vehicles," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-11, April.
  • Handle: RePEc:hin:jnlmpe:847630
    DOI: 10.1155/2014/847630
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    Cited by:

    1. Ostermeier, Manuel & Henke, Tino & Hübner, Alexander & Wäscher, Gerhard, 2021. "Multi-compartment vehicle routing problems: State-of-the-art, modeling framework and future directions," European Journal of Operational Research, Elsevier, vol. 292(3), pages 799-817.
    2. Sebastián Dávila & Miguel Alfaro & Guillermo Fuertes & Manuel Vargas & Mauricio Camargo, 2021. "Vehicle Routing Problem with Deadline and Stochastic Service Times: Case of the Ice Cream Industry in Santiago City of Chile," Mathematics, MDPI, vol. 9(21), pages 1-18, October.

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