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Accelerating Local Search in a Memetic Algorithm for the Capacitated Vehicle Routing Problem

  • Marek Kubiak
  • Przemysław Wesołek
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4446)

Abstract

Memetic algorithms usually employ long running times, since local search is performed every time a new solution is generated. Acceleration of a memetic algorithm requires focusing on local search, the most time-consuming component. This paper describes the application of two acceleration techniques to local search in a memetic algorithm: caching of values of objective function for neighbours and forbidding moves which could increase distance between solutions. Computational experiments indicate that in the capacitated vehicle routing problem the usage of these techniques is not really profitable, because of cache management overhead and implementation issues.

Keywords

Local Search Capacity Constraint Memetic Algorithm Vehicle Route Problem Common Edge 
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 Berlin Heidelberg 2007

Authors and Affiliations

  • Marek Kubiak
    • 1
  • Przemysław Wesołek
    • 1
  1. 1.Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965 PoznanPoland

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