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The Lazy Travelling Salesman Problem in $\mathbb{R}^2$

Published online by Cambridge University Press:  20 June 2007

Paz Polak
Affiliation:
Weizmann Institute of Science, Rehovot, Israel.
Gershon Wolansky
Affiliation:
Department of Mathematics, Technion, Haifa 32000, Israel; [email protected]
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Abstract

We study a parameter (σ)dependent relaxation of the Travelling Salesman Problem on  $\mathbb{R}^2$ .The relaxed problem is reduced to the Travelling Salesman Problemas $\sigma\rightarrow$ 0. For increasing σ it is also anordered clustering algorithm for a set of points in $\mathbb{R}^2$ .A dual formulation is introduced, which reduces the problem to aconvex optimization, provided the minimizer is in the domain ofconvexity of the relaxed functional. It is shown that this lastcondition is generically satisfied, provided σ is largeenough.

Type
Research Article
Copyright
© EDP Sciences, SMAI, 2007

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