基于PSO的Hopfield神经网络算法在动态VRPSPD中的应用

2015 IEEE 12th International Conference on e-Business Engineering Pub Date : 2015-10-23 DOI:10.1109/ICEBE.2015.27

Lan Liu, Xia Wang

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引用次数: 2

摘要

VRP问题存在很多不确定性。DVRP已成为国内外该领域的研究热点。然后，随着数据仓库和数据挖掘技术的发展，为解决DVRP提供了技术支持。本文建立了一个针对动态VRPSPD的数据挖掘模型，同时考虑了取货服务和送货服务的需求，给出了用启发式算法求解给定案例的成功解。

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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Application Based on PSO of Hopfield Neural Network Algorithm in Dynamic VRPSPD

There are so many uncertainties in VRP problem. DVRP has become a hotspot in this research area all over the world. Then, the technical supports are provided to solve DVRP with the development of Data Warehouse and Data Mining. This paper sets up a Data Mining Model aiming at Dynamic VRPSPD with the demands of both pick-up and delivery services, showing a successful solution to a given case solved by heuristic algorithm.

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2015 IEEE 12th International Conference on e-Business Engineering

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