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Reoptimization of minimum and maximum traveling salesman's tours
Authors:Giorgio Ausiello  Bruno Escoffier  Jrme Monnot  Vangelis Paschos
Institution:aDipartimento di Informatica e Sistemistica, Università di Roma “La Sapienza”, Roma, Italy;bUniversité de Paris-Dauphine, LAMSADE, F-75775 Paris, France;cCNRS, UMR 7024, F-75775 Paris, France
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.
Keywords:Approximation algorithms  Reoptimization  Traveling Salesman Problem
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