Experimental analysis of heuristics for the bottleneck traveling salesman problem

  • Authors:
  • John Larusic;Abraham P. Punnen;Eric Aubanel

  • Affiliations:
  • Department of Mathematics, Simon Fraser University Surrey, Surrey, Canada V3T 0A3;Department of Mathematics, Simon Fraser University Surrey, Surrey, Canada V3T 0A3;Faculty of Computer Science, University of New Brunswick, Fredericton, Canada

  • Venue:
  • Journal of Heuristics
  • Year:
  • 2012

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Abstract

In this paper we develop efficient heuristic algorithms to solve the bottleneck traveling salesman problem (BTSP). Results of extensive computational experiments are reported. Our heuristics produced optimal solutions for all the test problems considered from TSPLIB, JM-instances, National TSP instances, and VLSI TSP instances in very reasonable running time. We also conducted experiments with specially constructed `hard' instances of the BTSP that produced optimal solutions for all but seven problems. Some fast construction heuristics are also discussed. Our algorithms could easily be modified to solve related problems such as the maximum scatter TSP and testing hamiltonicity of a graph.