Approximation with a fixed number of solutions of some multiobjective maximization problems

  • Authors:
  • Cristina Bazgan;Laurent Gourvès;Jérôme Monnot

  • Affiliations:
  • PSL, Université Paris-Dauphine, LAMSADE, Place du Maréchal de Lattre de Tassigny, 75775 Paris Cedex 16, France and CNRS, UMR 7243, France and Institut Universitaire de France, France;CNRS, UMR 7243, France and PSL, Université Paris-Dauphine, LAMSADE, Place du Maréchal de Lattre de Tassigny, 75775 Paris Cedex 16, France;CNRS, UMR 7243, France and PSL, Université Paris-Dauphine, LAMSADE, Place du Maréchal de Lattre de Tassigny, 75775 Paris Cedex 16, France

  • Venue:
  • Journal of Discrete Algorithms
  • Year:
  • 2013

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Abstract

We investigate the problem of approximating the Pareto set of some multiobjective optimization problems with a given number of solutions. Our purpose is to exploit general properties that many well studied problems satisfy. We derive existence and constructive approximation results for the biobjective versions of Max Submodular Symmetric Function (and special cases), Max Bisection, and Max Matching and also for the k-objective versions of Max Coverage, Heaviest Subgraph, Max Coloring of interval graphs.