Abstract
The Minimum Latency Problem, also known as Traveling Repairman Problem, the Deliveryman Problem and the Traveling Salesman Problem with Cumulative Costs is a variant of the Traveling Salesman Problem in which a repairman is required to visit customers located on each node of a graph in such a way that the overall waiting times of these customers is minimized. In the present work, an algorithm based on tight different linear programming lowerbounds and a specialized GRASP procedure are presented. The linear programming based lower-bounds are based on the Quadratic Assignment Problem with the aid of side constraints. Instances from 10 up to 60 nodes are solved very close to optimality in reasonable time.
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