An Air Traffic Flow Management Method Based on Mized Genetic Algorithms

摘要：

With the air traffic congest problem becoming more and more severe, the study of air traffic flow management is more and more important. According to the character of air traffic flow management, the author analyzed the heuristic method and genetic algorithms, later put this two method together and give a new method of air traffic flow management-mixture genetic algorithms, It has global convergence, the simulation result demonstrates that the presented algorithm is effective.

关键词： Air traffic flow management Heuristic method Mized cs Optimal combination

作者: FU Ying

作者单位: Radar and Electronic Warfare Institute, Air Force Equipment Academy, Beijing, 100085, China

会议类型: 国际会议

会议名称: International Conference on Space Information Technology 2009(2009年第三届空间信息技术国际会议)

会议地点: 北京

会议语种:英文

页码: 1-6

在线出版日期: 2009-11-26（万方平台首次上网日期，不代表论文的发表时间）