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A Memetic Algorithm with Population Management (MA|PM) for the Capacitated Location-Routing Problem

  • Christian Prins
  • Caroline Prodhon
  • Roberto Wolfler Calvo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3906)

Abstract

As shown in recent researches, in a distribution system, ignoring routes when locating depots may overestimate the overall system cost. The Location Routing Problem (LRP) overcomes this drawback dealing simultaneously with location and routing decisions. This paper presents a memetic algorithm with population management (MA|PM) to solve the LRP with capacitated routes and depots. MA|PM is a very recent form of memetic algorithm in which the diversity of a small population of solutions is controlled by accepting a new solution if its distance to the population exceeds a given threshold. The method is evaluated on three sets of instances, and compared to other heuristics and a lower bound. The preliminary results are quite promising since the MA|PM already finds the best results on several instances.

Keywords

Local Search Tabu Search Memetic Algorithm Vehicle Route Problem Facility Location Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Christian Prins
    • 1
  • Caroline Prodhon
    • 1
  • Roberto Wolfler Calvo
    • 1
  1. 1.ISTITUniversité de Technologie de TroyesTroyesFrance

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