Parameter Setting Problem in the Case of Practical Vehicle Routing Problems with Realistic Constraints

2019 Federated Conference on Computer Science and Information Systems (FedCSIS) Pub Date : 2019-09-26 DOI:10.15439/2019F194

E. Žunić, D. Donko

引用次数: 7

Abstract

Vehicle Routing Problem (VRP) is the process of selection of the most favorable roads in a road network vehicle should move during the customer service, so as such, it is a generalization of problems of a commercial traveler. Most of the algorithms for successful solution of VRP problems are consisted of several controll parameters and constants, so this paper presents the data-driven prediction model for adjustment of the parameters based on historical data, especially for practical VRP problems with realistic constraints. The approach is consisted of four prediction models and decision making systems for comparing acquired results each of the used models.

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具有现实约束的实际车辆路径问题中的参数设置问题

车辆路径问题(Vehicle Routing Problem, VRP)是车辆在客户服务过程中选择路网中最有利道路的过程，是商旅问题的概括。大多数成功求解VRP问题的算法都是由多个控制参数和常量组成的，因此本文针对具有现实约束的实际VRP问题，提出了基于历史数据的参数调整的数据驱动预测模型。该方法由四个预测模型和决策系统组成，用于比较每个模型获得的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 Federated Conference on Computer Science and Information Systems (FedCSIS)

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