摘要
合理且高效的停机位分配方案是提高机场运营效益的重要手段之一。通过对航班占用停机位特性的分析,以旅客步行距离最短和停机位空闲时间均衡为目标函数建立优化模型,设计一种基于遗传算法与PSO算法相结合的混合粒子群算法对其求解,最后运用试验数据来说明该算法求解停机位分配问题的可行性。
A sensible airport gate assignment strategy is an important means for improving the operational effectiveness of airports. This paper focuses on minimizing idleness of gates and passenger walking distance to formulate an optimization model by analyzing the characteristics of airport gate occupancy. For solving this problem, a hybrid particle swarm algorithm based on the combination of Genetic algorithm and the PSO algorithm is designed. Last, a real test data is implemented to illustrate the algorithm feasibility.
出处
《中国民航飞行学院学报》
2013年第1期24-28,共5页
Journal of Civil Aviation Flight University of China
基金
中国民航飞行学院青年科研基金资助项目(X2010-45)
关键词
停机位分配
PSO
优化
数学模型
Airport gate assignment, PSO, Optimization, Mathematical model
