Optimizing the Site Selection of Air Traffic Control Communication Stations Based on the Genetic Algorithm

被引：0

作者：

Li, Shuang-Jie ^{[1
]}

Zhang, Xue-Jun ^{[1
]}

机构：

[1] Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China

来源：

ICMS2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION, VOL 2: MODELLING AND SIMULATION IN ENGINEERING | 2010年

关键词：

station site selection; genetic algorithm; optimization;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The paper analyzes the basic principles and key technologies of the genetic algorithm used in optimizing the site selection of air traffic control communications stations. The optimizing activity of genetic algorithm is started from several initial points. By judging whether to eliminate or choose the fitness function, the genetic algorithm achieves the global or quasi-global optimum. The genetic algorithm, with merits of simple principles, less search activities, fast velocity, and so on, solves the traditional algorithm's problems such as many search activities and slow velocity. The computer simulation experiments show the effectiveness of the genetic algorithm.

引用

页码：143 / 146

页数：4