[1]潘卫军,李肖琳,冉 斌,等.遗传算法在空管监视设备优化选址中的应用研究[J].计算机技术与发展,2019,29(09):141-145.[doi:10. 3969 / j. issn. 1673-629X. 2019. 09. 027]
　PAN Wei-jun,LI Xiao-lin,RAN Bin,et al.Research on Application of Genetic Algorithm in Optimizing Location of Air Traffic Control Monitoring Equipment[J].,2019,29(09):141-145.[doi:10. 3969 / j. issn. 1673-629X. 2019. 09. 027]
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遗传算法在空管监视设备优化选址中的应用研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年09期
页码:
141-145
栏目:
应用开发研究
出版日期:
2019-09-10

文章信息/Info

Title:
Research on Application of Genetic Algorithm in Optimizing Location of Air Traffic Control Monitoring Equipment
文章编号:
1673-629X(2019)09-0141-05
作者:
潘卫军; 李肖琳; 冉 斌; 邢瀛月
中国民用航空飞行学院 空中交通管理学院,四川 广汉 618300
Author(s):
PAN Wei-jun; LI Xiao-lin; RAN Bin; XING Ying-yue
Air Traffic Management institute,Civil Aviation Flight University of China,Guanghan 618300,China
关键词:
空管; 监视设备; 遗传算法; 选址优化; Matlab
Keywords:
air traffic control; monitoring equipment; genetic algorithm; location optimization; Matlab
分类号:
41;TP29
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 09. 027
摘要:
为实现科学合理的空管监视设备布局规划,提出了一种通用的选址优化算法,通过算例分析得到空管监视设备配置模型中最佳的选址位置。 这种算法能够使该地区空管监视设备保障能力加强,为国内空管监视设备选址规划提供了量化计算方法和辅助决策手段。 以西南地区为研究对象,通过分析空管监视设备优化选址的问题,提出了空管监视设备选址的约束条件和多重覆盖性能评估的目标函数,设计了以空管监视设备多重覆盖区域面积最大为目标函数的遗传算法。算例通过对大量的空管监视设备选址位置进行遗传进化逐步得到最优解,相比以少量选址位置为备选厂址,其选址结果更加准确。 算例结果表明,目标函数在求解过程中变化趋势较明显,验证了模型与算法的可行性。
Abstract:
In order to realize the scientific and rational layout planning of air traffic control equipment,we propose a general location optimization algorithm,and obtain the best location of the air traffic monitoring equipment configuration model through the example analysis.This kind of algorithm can strengthen the support capability of air traffic control equipment in the region, providing quantitative calculation methods and auxiliary decision-making methods for the location planning of air traffic control equipment in China. Taking the southwest area as the research object,by analyzing the problem of optimizing the location of the empty tube monitoring equipment,the constraint conditions of the location of the air traffic monitoring equipment and the objective function of the multi-coverage performance evaluation are proposed,and the genetic algorithm taking the largest multiple coverage area of the air traffic monitoring equipment as objective function is designed. The example gradually obtains the optimal solution by genetic evolution of a large number of empty tube monitoring equipment locations. Compared with a small number of ocations,the location is more accurate. The results of the example show that the trend of the objective function is obvious during the solution process,which verifies the easibility of the model and algorithm.

相似文献/References:

[1]李劲波 林虎.空管航行情报GIS信息系统的设计与实现[J].计算机技术与发展,2011,(04):250.
　LI Jin-bo,LIN Hu.Development of Air Traffic Control Aeronautical Information System Based on Geomedia WebMap[J].,2011,(09):250.

更新日期/Last Update: 2019-09-10