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Cost-Oriented Vehicle Routing and Cargo Allocation with Minimum CO2 Emissions Based on Harmony Search Algorithm

机译：基于和声搜索算法的CO 2 排放量最小的成本导向型车辆路径与货物分配

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摘要

argo carriers are obligated to reduce the CO_(2 )emissions that result from their cargo transportation activities. However, they tend to focus on reducing cargo transportation costs rather than CO_(2 )emissions. In addition, most cargo carriers entrust all their deliveries to subcontractors, and therefore, vehicle routing and cargo allocation that take only CO_(2 )emissions into consideration are not applicable for them. It is necessary to develop a method to determine cargo allocation and delivery routes for both the cargo carrier and their subcontractors. In our previous work, we proposed a method for solving a vehicle routing and cargo allocation problem where the cost and CO_(2 )emissions must be minimized. This method is not a global search but a hill-climbing method that adjusts a tentative cargo allocation with a low outsourcing fee, which is defined using a simple procedure. In this paper, we propose a method based on a harmony search algorithm. Experiments were conducted using both synthetic data and actual data provided by a cargo carrier in Japan. The results validate the utility of the proposed method.
机译：Argo承运人有义务减少其货物运输活动产生的CO_（2）排放。但是，他们倾向于集中精力降低货物运输成本，而不是减少CO_（2）排放。另外，大多数货运公司将所有交付都委托给分包商，因此，仅考虑CO_（2）排放的车辆路线和货物分配不适用于他们。有必要开发一种方法来确定货物承运人及其分包商的货物分配和交付路线。在我们之前的工作中，我们提出了一种解决车辆路线和货物分配问题的方法，该方法必须将成本和CO_（2）排放量降至最低。这种方法不是全局搜索，而是一种爬山方法，该方法可通过较低的外包费用来调整临时货物分配，这是使用简单的过程定义的。在本文中，我们提出了一种基于和声搜索算法的方法。使用合成数据和日本货船提供的实际数据进行了实验。结果验证了该方法的实用性。

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