The intelligent logistics management system based on intelligent computing

J. Qian, Jianguo Zheng, Chaoqun Zhang
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引用次数: 2

Abstract

Traditionally, some common algorithms to optimize the integration of logistics resource are linear programming, dynamic programming, and etc., however, these algorithms can't well solve many complex optimization issues, especially nonlinear issues, because of the continuous growth of issue complexity. On the contrary, intelligent computing technology has many advantages in solving complex, nonlinear and multi-objective optimization issue. But, how to build intelligent logistics management system based on intelligent computing technology has become a challenge. This paper, focusing on the function and system structure of intelligent management platform, presents the design of intelligent logistics management system based on Global Positioning System (GPS), Geographic Information System (GIS), and intelligent computing. Finally, a sample model of using quantum genetic intelligent algorithm to solve transportation problem in the intelligent logistics management system is given.
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基于智能计算的智能物流管理系统
传统上常用的物流资源整合优化算法有线性规划、动态规划等,但由于问题复杂性的不断增长,这些算法并不能很好地解决许多复杂的优化问题,特别是非线性问题。相反,智能计算技术在解决复杂、非线性和多目标优化问题方面具有许多优势。但是,如何构建基于智能计算技术的智能物流管理系统已成为一个挑战。本文围绕智能管理平台的功能和系统结构,提出了基于全球定位系统(GPS)、地理信息系统(GIS)和智能计算的智能物流管理系统的设计。最后,给出了在智能物流管理系统中应用量子遗传智能算法求解运输问题的示例模型。
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