A heuristic two-phase solution approach for the multi-objective dial-a-ride problem

  • Authors:
  • Sophie N. Parragh;Karl F. Doerner;Richard F. Hartl;Xavier Gandibleux

  • Affiliations:
  • Department of Business Administration, University of Vienna, Bruenner Strasse 72, 1210 Vienna, Austria;Department of Business Administration, University of Vienna, Bruenner Strasse 72, 1210 Vienna, Austria;Department of Business Administration, University of Vienna, Bruenner Strasse 72, 1210 Vienna, Austria;Laboratoire d'Informatique de Nantes Atlantique, Université de Nantes, 2, rue de la Houssiniere BP 92208, 44322 Nantes, France

  • Venue:
  • Networks - Route 2007
  • Year:
  • 2009

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Abstract

In this article, we develop a heuristic two-phase solution procedure for the dial-a-ride problem with two objectives. Besides the minimum cost objective a client centered objective has been defined. Phase one consists of an iterated variable neighborhood search-based heuristic, generating approximate weighted sum solutions; phase two is a path relinking module, computing additional efficient solutions. Results for two sets of benchmark instances are reported. For the smaller instances, exact efficient sets are generated by means of the ε-constraint method. Comparison shows that the proposed two-phase method is able to generate high-quality approximations of the true Pareto frontier. © 2009 Wiley Periodicals, Inc. NETWORKS, 2009