Nonlinear resolving functions for the travelling salesman problem

  • Authors:
  • S. I. Sergeev

  • Affiliations:
  • Moscow State University of Economics, Statistics, and Informatics, Moscow, Russia

  • Venue:
  • Automation and Remote Control
  • Year:
  • 2013

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Abstract

We propose two approaches to finding lower bounds in the traveling salesman problem (TSP). The first approach, based on a linear specification of the resolving function 驴(t, y), uses a two-index TSP model in its solution. This model has many applications. The second approach, based on a nonlinear specification of the resolving function 驴(t, y), uses a single-index TSP model. This model is original and lets us significantly reduce the branching procedure in the branch-and-bound method for exact TSP solution. One cannot use the two-index TSP model here due to the nonlinear specification of the resolving function 驴(t, y).