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A Memetic Algorithm for the Team Orienteering Problem

  • Hermann Bouly
  • Duc-Cuong Dang
  • Aziz Moukrim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4974)

Abstract

The Team Orienteering Problem (TOP) is a generalization of the Orienteering Problem (OP). A limited number of vehicles is available to visit customers from a potential set. Each vehicle has a predefined running-time limit, and each customer has a fixed associated profit. The aim of the TOP is to maximize the total collected profit. In this paper we propose a simple hybrid Genetic Algorithm (GA) using new algorithms dedicated to the specific scope of the TOP: an Optimal Split procedure for chromosome evaluation and Local Search techniques for mutation. We have called this hybrid method a Memetic Algorithm (MA) for the TOP. Computational experiments conducted on standard benchmark instances clearly show our method to be highly competitive with existing ones, yielding new improved solutions in at least 11 instances.

Keywords

Travel Cost Memetic Algorithm Variable Neighborhood Search Orienteering Problem Local Search Technique 
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 2008

Authors and Affiliations

  • Hermann Bouly
    • 1
    • 2
  • Duc-Cuong Dang
    • 1
  • Aziz Moukrim
    • 1
  1. 1.Heudiasyc, CNRS UMR 6599Université de Technologie de CompiègneCompiègneFrance
  2. 2.VEOLIA EnvironnementDirection de la RechercheParisFrance

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