The on-line asymmetric traveling salesman problem

  • Authors:

  • Giorgio Ausiello;Vincenzo Bonifaci;Luigi Laura

  • Affiliations:

  • Department of Computer and System Sciences, University of Rome “La Sapienza”, Rome, Italy;Department of Computer and System Sciences, University of Rome “La Sapienza”, Rome, Italy;Department of Computer and System Sciences, University of Rome “La Sapienza”, Rome, Italy

  • Venue:
  • WADS'05 Proceedings of the 9th international conference on Algorithms and Data Structures
  • Year:
  • 2005

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Abstract

We consider two on-line versions of the asymmetric traveling salesman problem with triangle inequality. For the homing version, in which the salesman is required to return in the city where it started from, we give a $\frac{3\sqrt{5}}{2}$ -competitive algorithm and prove that this is best possible. For the nomadic version, the on-line analogue of the shortest asymmetric hamiltonian path problem, we show that the competitive ratio of any on-line algorithm has to depend on the amount of asymmetry of the space in which the salesman moves. We also give bounds on the competitive ratio of on-line algorithms that are zealous, that is, in which the salesman cannot stay idle when some city can be served.