Solving Min-Max Multi-Depot Vehicle Routing Problem∗
نویسندگان
چکیده
The Multi-Depot Vehicle Routing Problem (MDVRP) is a generalization of the Single-Depot Vehicle Routing Problem (SDVRP) in which vehicle(s) start from multiple depots and return to their depots of origin at the end of their assigned tours. The traditional objective in MDVRP is to minimize the sum of all tour lengths, and existing literature handles this problem with a variety of assumptions and constraints. In this paper, we explore the notion of minimizing the maximal length of a tour in MDVRP (“min-max MDVRP”). We present two heuristics in the paper. The first heuristic is a linear programming-based approach with global improvement. The second one, the region partition heuristic, is proved to be asymptotically optimal and is potentially useful for general network applications. A comparison of the computational implementations for different heuristics is presented.
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