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Order matters – A Variable Neighborhood Search for the Swap-Body Vehicle Routing Problem

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  • Huber, Sandra
  • Geiger, Martin Josef

Abstract

This article presents investigations on the performance of standard and problem specific neighborhood operators for the Swap-Body Vehicle Routing Problem. More specifically, our work analyzes the contribution of each operator to the solution quality. In addition, an experimental setting is defined that can be utilized to identify promising sequences in a Variable Neighborhood Search. The experiments verify that the sequence matters since two best known solutions can be equaled and 16 out of 18 solutions can be improved, with a maximal improvement of 2.25% and an average improvement of 0.70%.

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  • Huber, Sandra & Geiger, Martin Josef, 2017. "Order matters – A Variable Neighborhood Search for the Swap-Body Vehicle Routing Problem," European Journal of Operational Research, Elsevier, vol. 263(2), pages 419-445.
    • Handle: RePEc:eee:ejores:v:263:y:2017:i:2:p:419-445
    DOI: 10.1016/j.ejor.2017.04.046
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    Cited by:

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    2. Chen, Cheng & Demir, Emrah & Huang, Yuan, 2021. "An adaptive large neighborhood search heuristic for the vehicle routing problem with time windows and delivery robots," European Journal of Operational Research, Elsevier, vol. 294(3), pages 1164-1180.
    3. Sandra Huber & Jean-François Cordeau & Martin Josef Geiger, 2020. "A matheuristic for the swap body vehicle routing problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(1), pages 111-160, March.

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