Complexity of determining the most vital elements for the 1-median and 1-center location problems

  • Authors:
  • Cristina Bazgan;Sonia Toubaline;Daniel Vanderpooten

  • Affiliations:
  • Université Paris-Dauphine, LAMSADE, Paris Cedex 16, France;Université Paris-Dauphine, LAMSADE, Paris Cedex 16, France;Université Paris-Dauphine, LAMSADE, Paris Cedex 16, France

  • Venue:
  • COCOA'10 Proceedings of the 4th international conference on Combinatorial optimization and applications - Volume Part I
  • Year:
  • 2010

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Abstract

We consider the k most vital edges (nodes) and min edge (node) blocker versions of the 1-median and 1-center location problems. Given a weighted connected graph with distances on edges and weights on nodes, the k most vital edges (nodes) 1-median (respectively 1-center) problem consists of finding a subset of k edges (nodes) whose removal from the graph leads to an optimal solution for the 1-median (respectively 1-center) problem with the largest total weighted distance (respectively maximum weighted distance). The complementary problem, min edge (node) blocker 1-median (respectively 1-center), consists of removing a subset of edges (nodes) of minimum cardinality such that an optimal solution for the 1-median (respectively 1-center) problem has a total weighted distance (respectively a maximum weighted distance) at least as large as a specified threshold. We show that k most vital edges 1-median and k most vital edges 1-center are NP-hard to approximate within a factor 7/5 - ε and 4/3 - ε respectively, for any ε 0, while k most vital nodes 1-median and k most vital nodes 1-center are NP-hard to approximate within a factor 3/2 - ε, for any ε 0. We also show that the complementary versions of these four problems are NP-hard to approximate within a factor 1.36.