拼车的问题

Ygor Alcântara de Medeiros, M. Goldbarg, E. Goldbarg
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引用次数: 3

摘要

拼车的有奖旅行商问题是一个将有奖旅行商和协同交通的要素结合在一起的模型。销售人员是一辆有容量的汽车的司机,并使用拼车系统来最大限度地降低旅行成本。图G的每个顶点都有相应的惩罚和奖励,G表示问题。g的每条边都有一个成本,销售人员必须选择一个要访问的顶点子集,以便总奖金集合至少是给定的参数。旅行的长度加上所有未访问的顶点的惩罚之和尽可能小。有一群人要求搭车。乘车请求包括上车和下车地点、最长旅行时间和乘客同意支付的最高金额。司机与车上的乘客共同分担每条线路的费用。必须满足乘坐要求的限制,以及汽车的容量。我们提出了这个问题的数学公式,并在一个优化工具中求解。我们还提出了三种混合精确和启发式方法的启发式方法。这些算法使用了一种其他丰富的车辆路线问题可以利用的分解策略。
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Prize Collecting Traveling Salesman Problem with Ridesharing
The Prize Collecting Traveling Salesman Problem with Ridesharing is a model that joins elements from the Prize Collecting Traveling Salesman and the collaborative transport. The salesman is the driver of a capacitated vehicle and uses a ridesharing system to minimize travel costs. There are a penalty and a bonus associated with each vertex of a graph, G, that represents the problem. There is also a cost associated with each edge of G. The salesman must choose a subset of vertices to be visited so that the total bonus collection is at least a given a parameter. The length of the tour plus the sum of penalties of all vertices not visited is as small as possible. There is a set of persons demanding rides. The ride request consists of a pickup and a drop off location, a maximum travel duration, and the maximum amount the person agrees to pay. The driver shares the cost associated with each arc in the tour with the passengers in the vehicle. Constraints from ride requests, as well as the capacity of the car, must be satisfied. We present a mathematical formulation for the problem investigated in this study and solve it in an optimization tool. We also present three heuristics that hybridize exact and heuristic methods. These algorithms use a decomposition strategy that other enriched vehicle routing problems can utilize.
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