A multi-start iterated local search with tabu list and path relinking for the two-echelon location-routing problem

  • Authors:

  • Viet-Phuong Nguyen;Christian Prins;Caroline Prodhon

  • Affiliations:

  • ICD-LOSI, Université de Technologie de Troyes (UTT), BP 2060, 10010 Troyes Cedex, France;ICD-LOSI, Université de Technologie de Troyes (UTT), BP 2060, 10010 Troyes Cedex, France;ICD-LOSI, Université de Technologie de Troyes (UTT), BP 2060, 10010 Troyes Cedex, France

  • Venue:
  • Engineering Applications of Artificial Intelligence
  • Year:
  • 2012

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Abstract

The two-echelon location-routing problem (LRP-2E) is raised by the design of transportation networks with two types of trips: first-level trips serving from one main depot a set of satellite depots, to be located, and second-level trips supplying customers from these satellites. In the proposed multi-start iterated local search (MS-ILS), three greedy randomized heuristics are used cyclically to get initial solutions. Each ILS run alternates between two search spaces: LRP-2E solutions, and travelling salesman (TSP) tours covering the main depot and the customers. The number of iterations allotted to a run is reduced whenever a known solution (stored in a tabu list) is revisited. MS-ILS can be reinforced by a path-relinking procedure (PR), used internally for intensification, as post-optimization, or both. On two sets with 24 and 30 LRP-2E instances, MS-ILS outperforms on average two GRASP algorithms and adding PR brings a further improvement. Our metaheuristic also surpasses a tabu search on 30 instances for a more general problem with several main depots. It is still effective on a particular case, the capacitated location-routing problem (CLRP): In a comparison with four published metaheuristics, only one (LRGTS, Prins et al., 2007) does better.