A PTAS for TSP with Neighborhoods Among Fat Regions in the Plane
Joseph S. B. Mitchell

TL;DR
This paper introduces the first polynomial-time approximation scheme for the Euclidean Traveling Salesman Problem with neighborhoods (TSPN) involving disjoint fat regions, significantly improving previous approximation algorithms.
Contribution
It presents the first PTAS for TSPN with arbitrary disjoint fat regions, extending the $m$-guillotine method to handle non-comparable region sizes.
Findings
First PTAS for TSPN with fat regions in the plane
Significantly improved approximation algorithms
Applicable to regions with weak fatness condition
Abstract
The Euclidean TSP with neighborhoods (TSPN) problem seeks a shortest tour that visits a given collection of regions ({\em neighborhoods}). We present the first polynomial-time approximation scheme for TSPN for a set of regions given by arbitrary disjoint fat regions in the plane. This improves substantially upon the known approximation algorithms, and is the first PTAS for TSPN on regions of non-comparable sizes. Our result is based on a novel extension of the -guillotine method. The result applies to regions that are "fat" in a very weak sense: each region has area , but is otherwise arbitrary.
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Optimization and Search Problems
