Flight Conflict Resolution for Civil Aviation based on Ant Colony Optimization

摘要：

More and more congestions are emerging because of the increasing of air traffic flow in china. In order to facilitate civil-aviation traffic, a flight conflict resolution method based on ACO (Ant Colony Optimization) is surveyed in this paper. The optimization objective function which not only includes trajectory length factor but also passengers comfort factor is constructed. An ACO model for flight conflict resolution is established. The experimental results show that the optimized trajectory achieved by ACO is better than those obtained by GA and PSO.

关键词： conflict resolution air traffic management ant colony optimization genetic algorithm particle swarm optimization

作者: Guanglei Meng Fei Qi

作者单位: Faculty of Aerospace Engineering Shenyang University of Aeronautics Shenyang, China Science and Technology Association Shenyang University of Aeronautics Shenyang, China

会议类型: 国际会议

会议名称: 2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

会议地点: 杭州

会议语种:英文

页码: 239-241

在线出版日期: 2012-10-28（万方平台首次上网日期，不代表论文的发表时间）