An Approximation Algorithm for a Heterogeneous Traveling Salesman Problem
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Surveillance applications require a collection of heterogeneous vehicles to visit a set of targets. In this article, we consider a fundamental routing problem that arises in these applications involving two vehicles. Specifically, we consider a routing problem where there are two heterogeneous vehicles that start from distinct initial locations, and a set of targets. The objective is to find a tour for each vehicle such that each of the targets is visited at least once by a vehicle and the sum of the distances traveled by the vehicles is a minimum. We present a novel primal-dual algorithm for the same that provides an approximation ratio of 2. Copyright © 2011 by ASME.
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