Abstract
In this paper, reoptimization versions of the traveling salesman problem (TSP) are addressed. Assume that an optimum solution of an instance is given and the goal is to determine if one can maintain a good solution when the instance is subject to minor modifications. We study the case where nodes are inserted in, or deleted from, the graph. When inserting a node, we show that the reoptimization problem for MinTSP is approximable within ratio 4/3 if the distance matrix is metric. We show that, dealing with metric MaxTSP, a simple heuristic is asymptotically optimum when a constant number of nodes are inserted. In the general case, we propose a 4/5-approximation algorithm for the reoptimization version of MaxTSP.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Archetti, C., Bertazzi, L., Speranza, M.G.: Reoptimizing the traveling salesman problem. Networks 42(3), 154–159 (2003)
Bartusch, M., Mohring, R.H., Radermacher, F.J.: Scheduling project networks with resource constraints and time windows. Ann. Oper. Res. 16, 201–240 (1988)
Bartusch, M., Mohring, R.H., Radermacher, F.J.: A conceptional outline of a dss for scheduling problems in the building industry. Decision Support Systems 5, 321–344 (1989)
Chen, Z.-Z., Okamoto, Y., Wang, L.: Improved deterministic approximation algorithms for Max TSP. Information Processessing Letters 95, 333–342 (2005)
Christofides, N.: Worst-case analysis of a new heuristic for the traveling salesman problem. Technical Report 338, Grad School of Industrial Administration, Canergi-Mellon University, Pittsburgh (1976)
Eppstein, D., Galil, Z., Italiano, G.F., Nissenzweig, A.: Sparsification - a technique for speeding up dynamic graph algorithms. Journal of the ACM 44(5), 669–696 (1997)
Gutin, G., Punnen, A.P.: The Traveling Salesman Problem and Its Variations. Combinatorial Optimization. Kluwer Academic Publishers, Dordrecht (2002)
Hartvigsen, D.: Extensions of Matching Theory. PhD thesis, Carnegie-Mellon University (1984)
Hassin, R., Rubinstein, S.: A 7/8-approximation algorithm for metric Max TSP. Information Processessing Letters 81(5), 247–251 (2002)
Henzinger, M.R., King, V.: Maintaining minimum spanning trees in dynamic graphs. In: Degano, P., Gorrieri, R., Marchetti-Spaccamela, A. (eds.) ICALP 1997. LNCS, vol. 1256, pp. 594–604. Springer, Heidelberg (1997)
Johnson, D.S., McGeoch, L.A.: The traveling salesman problem: a case study. In: Aarts, E., Lenstra, J.K. (eds.) Local search in combinatorial optimization. Wiley, Chichester (1997)
Lawler, E.L., Lenstra, J.K., Rinnooy Kan, A.H.G., Shmoys, D.B.: The Traveling Salesman Problem: a guided tour of Combinatorial Optimization. In: Discrete Mathematics and Optimization. Wiley, Chichester (1985)
Papadimitriou, C.H., Steiglitz, K.: Some complexity results for the traveling salesman problem. In: STOC 1976, pp. 1–9 (1976)
Papadimitriou, C.H., Yannakakis, M.: The traveling salesman problem with distances one and two. Mathematics of Operations Research 18, 1–11 (1993)
Rosenkrantz, D.J., Stearns, R.E., Lewis II, P.M.: An analysis of several heuristics for the traveling salesman problem. SIAM J. Comput. 6(3), 563–581 (1977)
Sahni, S., Gonzalez, T.F.: P-complete approximation problems. J. ACM 23(3), 555–565 (1976)
Schäffter, M.W.: Scheduling with forbidden sets. Discrete Applied Mathematics 72(1-2), 155–166 (1997)
Serdyukov, A.I.: An algorithm with an estimate for the traveling salesman problem of the maximum. Upravlyaemye Sistemy (in Russian) 25, 80–86 (1984)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ausiello, G., Escoffier, B., Monnot, J., Paschos, V.T. (2006). Reoptimization of Minimum and Maximum Traveling Salesman’s Tours. In: Arge, L., Freivalds, R. (eds) Algorithm Theory – SWAT 2006. SWAT 2006. Lecture Notes in Computer Science, vol 4059. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11785293_20
Download citation
DOI: https://doi.org/10.1007/11785293_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35753-7
Online ISBN: 978-3-540-35755-1
eBook Packages: Computer ScienceComputer Science (R0)