Guest column: the elusive inapproximability of the TSP

  • Authors:
  • Michael Lampis

  • Affiliations:
  • Kyoto University, Japan

  • Venue:
  • ACM SIGACT News
  • Year:
  • 2014

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Abstract

After two decades of progress in hardness of approximation we finally completely understand the extent to which many optimization problems can be approximated in polynomial time. Unfortunately, however, and despite significant efforts, many important problems continue to resist such an understanding. One example is the famous Traveling Salesman Problem, for which the best currently known hardness of approximation bounds are strongly believed to be quite far from the truth. In this article, we describe the main tools and techniques used in the currently best known approximation lower bounds for this problem. Among them are expander-like graph constructions called amplifiers and bounded-occurrence instances of standard constraint satisfaction problems. We also discuss how these ideas could be (modestly) improved, how (and whether) they may prove useful in eventually resolving the problem and what ingredients are still missing.