摘要
飞行冲突的探测和解决是自由飞行的关键问题.结合了人工势场法的蚁群算法可以解决多机飞行冲突.在对飞行冲突解决问题的研究背景和现状作简要介绍的基础上,建立了有约束组合优化的数学模型,提出了用蚁群算法优化人工势场法规划结果的新思路.仿真计算证明算法能在短时间内提供多架飞机理想的冲突解决方案.
The conflict detection and resolution are key problems in free flight.Ant colony algorithm（ACA） can resolve multi-aircraft conflicts by intergrating Artificial Field method.Based on the brief introduction of conflict detection and resolution research being undertaken worldwide,a constrained combinatorial optimization mathematic model is established.Then an idea of utilizing ant colony algorithm to optimize the result of Artificial Field method is presented and the feasibility is demonstrated by the final simulating computation.
出处
《武汉理工大学学报（交通科学与工程版）》
2010年第3期460-463,共4页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
天津市科技支撑计划重点项目资助(批准号:07ZCKFGX01600)
关键词
自由飞行
多机冲突
有约束组合优化
人工势场
蚁群算法
free flight
multi-aircraft conflict
constrained combinatorial optimization
artificial field
ant colony algorithm
