Pareto Autonomous Local Search

  • Nadarajen Veerapen
  • Frédéric Saubion
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6683)


This paper presents a study for the dynamic selection of operators in a local search process. The main purpose is to propose a generic autonomous local search method which manages operator selection from a set of available operators, built on neighborhood relations and neighbor selection functions, using the concept of Pareto dominance with respect to quality and diversity. The latter is measured using two different metrics. This control method is implemented using the Comet language in order to be easily introduced in various constraint local search algorithms. Focusing on permutation-based problems, experimental results are provided for the QAP and ATSP to assess the method’s effectiveness.


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© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Nadarajen Veerapen
    • 1
  • Frédéric Saubion
    • 1
  1. 1.LERIAUniversité d’AngersAngersFrance

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