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Traveling Salesman Problem (TSP)

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Encyclopedia of GIS
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Synonyms

Traveling salesperson problem; TSP; Hamiltonian cycle with the least weight

Definition

The traveling salesperson problem is a well studied and famous problem in the area of computer science. In brief, consider a salesperson who wants to travel around the country from city to city to sell his wares. A simple example is shown in Fig. 1.

Figure 1
figure 1

An example of a city map for the traveling salesman problem

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Recommended Reading

  1. Traveling Salesman Problem website supported by School of Industrial and Systems Engineering at Georgia Tech. http://www.tsp.gatech.edu/

  2. Wikipedia, Traveling Salesman Problem. http://en.wikipedia.org/

  3. Millennium Problems, The Clay Mathematics Institute of Cambridge, Massachusetts. http://www.claymath.org/millennium/

  4. Appletgate, D., Bixby, R., Chvátal, V., Cook, W.: On the solution of traveling salesman problems. Documenta Mathematica Journal der Deutschen Mathematiker‐Vereinigung International Congress of Mathematicians, (1998)

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  5. Fekete, S., Meijer, H., Rohe, A., Tietze, W.: Solving a Hard problem to approximate an Easy one: heuristics for maximum matchings and maximum traveling salesman problems. J. Exp. Algorithm. (JEA)7, (2002)

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  6. Barvinok, A., Fekete, S., Johnson, D., Tamir, A., Woeginger, G., Woodroofe, R.: The geometric maximum traveling salesman problem. J. ACM (JACM) 50:(5)3, (2003)

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  7. Krolak, P., Felts, W., Marble, G.: A man-machine approach toward solving the traveling salesman problem. Communications of the ACM 14:(5), (1971)

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  8. Papadimitriou, C., Steiglitz, K.: Some complexity results for the Traveling Salesman Problem. Proceedings of the eighth annual ACM symposium on Theory of computing, May (1976)

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  9. Biggs, N.L., Lloyd, E.K., Wilson, R.J.: Graph Theory 1736–1936. Clarendon Press, Oxford (1976)

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© 2008 Springer-Verlag

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Wilfahrt, R., Kim, S. (2008). Traveling Salesman Problem (TSP). In: Shekhar, S., Xiong, H. (eds) Encyclopedia of GIS. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35973-1_1406

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