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GVR: A New Genetic Representation for the Vehicle Routing Problem

  • Francisco B. Pereira
  • Jorge Tavares
  • Penousal Machado
  • Ernesto Costa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2464)

Abstract

In this paper we analyse a new evolutionary approach to the vehicle routing problem. We present Genetic Vehicle Representation (GVR), a two-level representational scheme designed to deal in an effective way with all the information that candidate solutions must encode. Experimental results show that this method is both effective and robust, allowing the discovery of new best solutions for some well-known benchmarks.

Keywords

Genetic Algorithm Genetic Operator Constraint Programming Vehicle Route Problem Genetic Representation 
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 2002

Authors and Affiliations

  • Francisco B. Pereira
    • 1
    • 2
  • Jorge Tavares
    • 2
  • Penousal Machado
    • 1
    • 2
  • Ernesto Costa
    • 2
  1. 1.Instituto Superior de Engenharia de CoimbraCoimbraPortugal
  2. 2.Centro de Informática e Sistemas da Universidade de CoimbraCoimbraPortugal

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