Reoptimization of the Metric Deadline TSP

  • Authors:
  • Hans-Joachim Böckenhauer;Dennis Komm

  • Affiliations:
  • Department of Computer Science, , ETH Zurich, Switzerland;Department of Computer Science, , ETH Zurich, Switzerland

  • Venue:
  • MFCS '08 Proceedings of the 33rd international symposium on Mathematical Foundations of Computer Science
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

The reoptimization version of an optimization problem deals with the following scenario: Given an input instance together with an optimal solution for it, the objective is to find a high-quality solution for a locally modified instance.In this paper, we investigate several reoptimization variants of the traveling salesman problem with deadlines in metric graphs (Δ-DlTSP). The objective in the Δ-DlTSPis to find a minimum-cost Hamiltonian cycle in a complete undirected graph with a metric edge cost function which visits some of its vertices before some prespecified deadlines. As types of local modifications, we consider insertions and deletions of a vertex as well as of a deadline.We prove the hardness of all of these reoptimization variants and give lower and upper bounds on the achievable approximation ratio which are tight in most cases.