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首页> 外文期刊>International journal of production economics >Vehicle routing problem with fuel consumption and carbon emission
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Vehicle routing problem with fuel consumption and carbon emission

机译：具有油耗和碳排放的车辆路径问题

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In this paper, we study a vehicle routing problem (VRP) with the consideration of fuel consumption and carbon emission. To be specific, we incorporate fuel cost, carbon emission cost, and vehicle usage cost into the traditional VRP problem and establish a low-carbon routing problem model. Based on the route splitting method, we develop an improved tabu search algorithm named RS-TS for solving the model. In the RS-TS algorithm, we introduce a novel route encoding and decoding algorithm named WSS, in which three neighborhood search methods are applied. By numerical studies we show that the RS-TS algorithm is effective with a satisfactory solution and can better reveal the relationships among distance, fuel consumption, travel time, and other parameters. Moreover, we also show that the route and vehicle arrangements based on fuel consumption and carbon emission are both economic and environmentally friendly. (C) 2015 Elsevier B.V. All rights reserved.
机译：在本文中，我们研究了考虑燃料消耗和碳排放的车辆路径问题（VRP）。具体来说，我们将燃料成本，碳排放成本和车辆使用成本纳入了传统的VRP问题，并建立了低碳路径问题模型。基于路由分割方法，我们开发了一种改进的禁忌搜索算法，称为RS-TS，用于求解模型。在RS-TS算法中，我们引入了一种称为WSS的新型路由编码和解码算法，其中应用了三种邻域搜索方法。通过数值研究，我们证明了RS-TS算法是有效的且具有令人满意的解决方案，并且可以更好地揭示距离，燃油消耗，行驶时间和其他参数之间的关系。此外，我们还表明，基于燃油消耗和碳排放的路线和车辆安排既经济又环保。 （C）2015 Elsevier B.V.保留所有权利。

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