Research on the Hybrid Multi-Objective Optimization Algorithm and Its Applications on the Intelligent Traffic Dynamic Programming Model

被引：0

作者：

Li Qing-Hua ^{[1
]}

Wang Xin-Yan ^{[1
]}

机构：

[1] Tibet Univ, Sch Engn, Lhasa 850000, Peoples R China

来源：

INTERNATIONAL SYMPOSIUM 2015: MECHANICAL AND ELECTRONICAL SYSTEMS AND CONTROL ENGINEERING | 2015年

关键词：

Multi-Objective; Optimization Algorithm; Intelligent Traffic; Programming Model;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we conduct research on the hybrid multi-objective optimization algorithm and its applications on the intelligent traffic dynamic programming model. The inter-city rail transit to strengthen the connection between the urban agglomeration and the division of labor as enhance the capacity of matching between cities, improve the quality of the economy, saving the cost and make the whole area of industrial upgrading and transformation, for the decisive role. The world metropolis regional integration development practice, it is the future model of regional development of big cities. Our research starts from the discussion of the optimization approaches to modify the current condition of the modern transformation status which provides the novel paradigm.

引用

页码：23 / 29

页数：7

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