滨州学院学报
濱州學院學報
빈주학원학보
JOURNAL OF BINZHOU UNIVERSITY
2014年
6期
30-35
,共6页
进场航班排序%延误损失%鲁棒性%RHC 蚁群算法
進場航班排序%延誤損失%魯棒性%RHC 蟻群算法
진장항반배서%연오손실%로봉성%RHC 의군산법
approach flight sequencing%delay cost%robust%RHC ant colony optimization algorithm
对终端区进场航班调度问题,以延误损失和航班序列鲁棒性为目标,建立多目标进场航班调度优化模型。针对建立的模型运用 RHC 蚁群算法进行优化求解,同时对优化后的序列组进行鲁棒性排序,选出既能够降低航空公司延误损失,又能提高航班序列鲁棒性的优化序列。在仿真验证中,RHC 蚁群算法策略与 FCFS 策略相比,延误损失降低21%。表明 RHC 蚁群优化策略能够大大降低航空公司的延误损失,提高航班序列的鲁棒性,从而降低管制员工作负荷。
對終耑區進場航班調度問題,以延誤損失和航班序列魯棒性為目標,建立多目標進場航班調度優化模型。針對建立的模型運用 RHC 蟻群算法進行優化求解,同時對優化後的序列組進行魯棒性排序,選齣既能夠降低航空公司延誤損失,又能提高航班序列魯棒性的優化序列。在倣真驗證中,RHC 蟻群算法策略與 FCFS 策略相比,延誤損失降低21%。錶明 RHC 蟻群優化策略能夠大大降低航空公司的延誤損失,提高航班序列的魯棒性,從而降低管製員工作負荷。
대종단구진장항반조도문제,이연오손실화항반서렬로봉성위목표,건립다목표진장항반조도우화모형。침대건립적모형운용 RHC 의군산법진행우화구해,동시대우화후적서렬조진행로봉성배서,선출기능구강저항공공사연오손실,우능제고항반서렬로봉성적우화서렬。재방진험증중,RHC 의군산법책략여 FCFS 책략상비,연오손실강저21%。표명 RHC 의군우화책략능구대대강저항공공사적연오손실,제고항반서렬적로봉성,종이강저관제원공작부하。
Aiming at the scheduling problem of approach flight at the terminal area,the delay costs and the robustness of the flight sequence are treated as goals,and a model of multi-objective optimization for approach flight is built in this paper.Meantime,the RHC ant colony algorithm is created to solve the optimization problem.Sorting the optimized sequence according to robustness and selecting the optimal flight sequence can reduce the delay costs of the airlines,and improve the robustness of it as well.After simulation and verification,the delay costs of RHC ant colony algorithm has declined by 21% compared with the FCFS algorithm.The results show that the RHC ant colony optimization algorithm could reduce delay costs significantly and improve the robustness of the flight sequence,thus reduce the workload of the controllers.
