中国民航飞行学院学报
中國民航飛行學院學報
중국민항비행학원학보
JOURNAL OF CHINA CIVIL AVIATION FLYING COLLEGE
2013年
1期
26-30
,共5页
停机位分配%PSO%优化%数学模型
停機位分配%PSO%優化%數學模型
정궤위분배%PSO%우화%수학모형
Airport gate assignment%PSO%Optimization%Mathematical model
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.
閤理且高效的停機位分配方案是提高機場運營效益的重要手段之一.通過對航班佔用停機位特性的分析,以旅客步行距離最短和停機位空閒時間均衡為目標函數建立優化模型,設計一種基于遺傳算法與 PSO 算法相結閤的混閤粒子群算法對其求解,最後運用試驗數據來說明該算法求解停機位分配問題的可行性.
합리차고효적정궤위분배방안시제고궤장운영효익적중요수단지일.통과대항반점용정궤위특성적분석,이여객보행거리최단화정궤위공한시간균형위목표함수건립우화모형,설계일충기우유전산법여 PSO 산법상결합적혼합입자군산법대기구해,최후운용시험수거래설명해산법구해정궤위분배문제적가행성.
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.