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An adaptive large-neighborhood search heuristic for a multi-period vehicle routing problem

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  • Dayarian, Iman
  • Crainic, Teodor Gabriel
  • Gendreau, Michel
  • Rei, Walter

Abstract

This problem involves optimizing product collection and redistribution from production locations to a set of processing plants over a planning horizon. This horizon consists of several days, and the collection-redistribution is performed on a repeating daily basis. A single routing plan must be prepared for the whole horizon, taking into account the seasonal variations in the supply. We model the problem using a sequence of periods, each corresponding to a season. We propose an adaptive large-neighborhood search with several specifically designed operators and features. The results show the excellent performance of the algorithm in terms of solution quality and computational efficiency.

Suggested Citation

  • Dayarian, Iman & Crainic, Teodor Gabriel & Gendreau, Michel & Rei, Walter, 2016. "An adaptive large-neighborhood search heuristic for a multi-period vehicle routing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 95-123.
    • Handle: RePEc:eee:transe:v:95:y:2016:i:c:p:95-123
    DOI: 10.1016/j.tre.2016.09.004
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    References listed on IDEAS

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