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Washington University, St. Louis, Missouri
We analyze the vehicle routing problem with constraints on the total distance traveled by each vehicle. Two objective functions are considered: minimize the total distance traveled by vehicles and minimize the number of vehicles used. We demonstrate a close relationship between the optimal solutions for the two objective functions and perform a worst case analysis for a class of heuristics. We present a heuristic that provides a good worst case result when the number of vehicles used is relatively small.
Columbia University, New York, New York
GERAD and Ecole Polytechnique, Montreal, Canada
Subject classifications: networks/graphs; heuristics: worst case analysis; transportation; vehicle routing: distance constrained vehicle routing problem.
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