Skip to main content

Metric TSP

1976; Christofides

  • Reference work entry
Encyclopedia of Algorithms

Keywords and Synonyms

Metric traveling salesman problem; Metric traveling salesperson problem  

Problem Definition

The Traveling Salesman Problem (TSP) is the following optimization problem:

Input::

A complete loopless undirected graph \( G = (V, E, w) \) with a weight function \( { w \colon E \to \mathbb{Q}_{\ge 0} } \) that assigns to each edge a non-negative weight.

Feasible solutions::

All Hamiltonian tours, i. e, the subgraphs H of G that are connected, and each node in them that has degree two.

Objective function::

The weight function \( w(H) = \sum_{e \in H} w(e) \) of the tour.

Goal::

Minimization.

The TSP is an \( { \textsf{NP} } \)-hard optimization problem. This means that a polynomial time algorithm for the TSP does not exist unless \( { \textsf{P} = \textsf{NP} } \). One way out of this dilemma is provided by approximation algorithms. A polynomial time algorithm for the TSP is called an α-approximation algorithm if the tour H produced by the algorithm fulfills \( { w(H) \le...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 399.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Christofides, N.: Worst case analysis of a new heuristic for the traveling salesman problem, Technical Report 388, Graduate School of Industrial Administration, Carnegie-Mellon University, Pittsburgh, (1976). Also: Carnegie-Mellon University Technical Report CS-93-13, 1976. Abstract in Traub, J.F. (ed.) Symposium on new directions and recent results in algorithms and complexity, pp. 441. Academic Press, New York (1976)

    Google Scholar 

  2. Held, M., Karp, R.M.: The traveling salesman problem and minimum spanning trees. Oper. Res. 18, 1138–1162 (1970)

    Article  MathSciNet  MATH  Google Scholar 

  3. Johnson, D.S., McGeoch, L.A.: Experimental analysis of heuristics for the STSP. In: Gutin, G., Punnen, A.P. (eds.) The Traveling Salesman Problem and its Variations. Kluwer, Dordrecht (2002)

    Google Scholar 

  4. Lawler, E.L., Lenstra, J.K., Rinnooy Kan, A.H.G., Shmoys, D.B. (eds.): The Traveling Salesman Problem. A Guided Tour of Combinatorial Optimization. Wiley, Chichester (1985)

    MATH  Google Scholar 

  5. Papadimitriou, C., Steiglitz, K.: Combinatorial Optimization: Algorithms and Complexity. Prentice-Hall, Englewood Cliffs (1982)

    MATH  Google Scholar 

  6. Sahni, S., Gonzalez, T.: P-complete approximation problems. J. ACM 23, 555–565 (1976)

    Article  MathSciNet  MATH  Google Scholar 

  7. Vazirani, V.V.: Approximation Algorithms. Springer, Berlin (2001)

    Google Scholar 

  8. Traveling Salesman Problem. www.tsp.gatech.edu (2006). Accessed 28 Mar 2008

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag

About this entry

Cite this entry

Bläser, M. (2008). Metric TSP. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30162-4_230

Download citation

Publish with us

Policies and ethics