STRONG EQUILIBRIA IN THE VEHICLE ROUTING GAME

2014 ◽  
Vol 16 (04) ◽  
pp. 1450013 ◽  
Author(s):  
NIKOLAY ZENKEVICH ◽  
ANDREY ZYATCHIN

This paper introduces an extension of the vehicle routing problem by including several distributors in competition. Each customer is characterized by demand and a wholesale price. Under this scenario a solution may have unserviced customers and elementary routes with no customer visits. The problem is described as a vehicle routing game (VRG) with coordinated strategies. We provide a computable procedure to calculate a strong equilibrium (SE) in the VRG that is stable against deviations from any coalition. Following this procedure, we solve iteratively optimization subproblems for a single distributor, reducing the set of unserviced customers at each iteration. We prove that strong equilibria of one type exist for a VRG, and we provide conditions for another type to exist. We also introduce a semi-cooperative SE that helps reduce a set of strong equilibria in the VRG. Our methodology is suited for parallel computing, and could be efficiently applied to routing vehicles with a few compartments. It also calculates a numerical example for a three person VRG with six cars and twelve customers.

2011 ◽  
Vol 282-283 ◽  
pp. 375-378
Author(s):  
Shan Liang Hu ◽  
Chang Shi Liu

The vehicle routing problem with stochastic demands is considered in this paper, and an effective tabu search algorithm for the proposed problem. The goal consists of minimizing the vehicle number and expected distance traveled in order to serve all customers’ demands. Finally, a numerical example is given to show the effectiveness of the algorithm.


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