优化国家范围的航空交通网络流量上的安全效率权衡,使用合作共进化的范式
Mingming Xiao1, Chen Hong2,3, Kaiquan Cai4
1College of Smart City, Beijing Union University, Beijing, 100101, China. xxtmingming@buu.edu.cn.
Scientific reports
|July 2, 2025
概括
本研究介绍了H-COEA,这是空中交通网络流量优化 (ATNFO) 的新方法. 通过优化飞行时间表和航线,H-COEA有效地平衡了空中交通管理的安全性和效率.
科学领域:
- 运营研究 运营研究
- 计算机科学 计算机科学
- 航空航天工程 航空航天工程
背景情况:
- 空中交通管理面临着安全与效率之间的冲突.
- 提高效率可能会导致飞机密度更高,增加碰撞风险和控制器工作量.
- 全国空中交通网络流量优化 (ATNFO) 旨在平衡这些目标.
研究的目的:
- 解决大规模ATNFO问题中的"维度诅咒".
- 为了呈现一种新的"分裂与征服"方法,H-COEA,为ATNFO.
- 改善空中交通系统安全性和效率之间的权衡.
主要方法:
- 开发了H-COEA,一个合作共进化 (CC) 的范式.
- 采用染色体表示方案,分为出发时间段,路线选择启发式和时间表.
- 共同进化了三个对应染色体子组件的子群.
主要成果:
- 在四个不同规模的ATNFO问题上测试了H-COEA.
- 将H-COEA与最先进的多目标进化算法进行比较.
- 在H-COEA中,安全性和效率之间的优越权衡得到了证明.
结论:
- 合作共进化 (CC) 范式适用于大规模的ATNFO.
- H-COEA有效地优化了空中交通网络流量.
- 拟议的方法为空中交通管理提供了更好的安全性和效率.
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