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第13届中国系统仿真技术及其应用学术年会

作者： Zhenxin LIU,Xiaohong YU,Qing YANG Academy of Equipment Command &Technology,Beijing,China

The topology model of space information support power system was constructed based on the complex network theory. The characteristic parameters of this model were studied, and the effect of the initial link mechanism, the number of communication nodes, other information support nodes and the total nodes on the whole features of the system was analyzed. Simulation results showed that the model and the method were effective and scientific. The research could provide some reference values to the further studies of the related fields.

关键词： space information support system topology model complex network scale-free

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Improved Ant Colony Algorithm for Vehicle Scheduling Problem in Airport Ground Service Support

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Journal of Harbin Institute of Technology(New Series) 2023年第1期30卷 1-12页

作者： Yaping Zhang Ye Chen Yu Zhang Jian Mao Qian Luo School of Transportation Science and Engineering Harbin Institute of TechnologyHarbin 150001China Beijing E-hualu Information Technology Co.Ltd. Beijing 100043China Chengdu Civil Aviation Information Technology Co.Ltd. Chengdu 610041China

Support vehicles are part of the main body of airport ground operations,and their scheduling efficiency directly impacts flight delays.A mathematical model is constructed and the responsiveness of support vehicles for current operational demands is proposed to study optimization algorithms for vehicle *** model is based on the constraint relationship of the initial operation time,time window,and gate position distribution,which gives an improvement to the ant colony algorithm(ACO).The impacts of the improved ACO as used for support vehicle optimization are compared and *** results show that the scheduling scheme of refueling trucks based on the improved ACO can reduce flight delays caused by refueling operations by 56.87%,indicating the improved ACO can improve support vehicle ***,the improved ACO can jump out of local optima,which can balance the working time of refueling *** research optimizes the scheduling scheme of support vehicles under the existing conditions of airports,which has practical significance to fully utilize ground service resources,improve the efficiency of airport ground operations,and effectively reduce flight delays caused by ground service support.

关键词： airport surface traffic ground service support vehicle scheduling topology model improved ant colony algorithm response value

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