计算机与现代化Issue(2)：57-61,5.DOI:10.3969/j.issn.1006-2475.2015.02.013
基于均衡更新蚁群算法的飞机排序调度
A Balanced Update Ant Colony Optimization for Aircraft Arrival Sequencing and Scheduling
摘要
Abstract
Aircraft arrival sequencing and scheduling ( ASS) is a key problem of air traffic control ( ATC) .According to the ASS model, a balanced update ant colony algorithm (BUACO) is proposed in this paper.BUACO balanced update the pheromone and enhance the global search ability of the algorithm by taking advantage of the difference between the current solution and the global optimal solution, in order to generate a better solution.The experiments show that BUACO’ s performance can be increased by 12.9%with a shorter computation time than the comparison algorithms when solving ASS problem, which is conductive to arrange a suitable flight landing sequence based on real-time situation for ATC.关键词
飞机排序调度/蚁群算法/均衡更新/实际载客量Key words
aircraft arrival sequencing and scheduling/ant colony optimization/balanced update/actual seating passengers分类
信息技术与安全科学引用本文复制引用
李媛祯,杨群,段汐..基于均衡更新蚁群算法的飞机排序调度[J].计算机与现代化,2015,(2):57-61,5.基金项目
国家自然科学基金资助项目（41301407）；江苏省自然科学基金资助项目 （）
