基于禁忌搜索算法的机场场面联合优化模型  

Joint Optimization Model of Airport Surface Operation Based on Tabu Search Algorithm

作　　者：冯程[1] 胡明华[2] 满青珊[1] 

机构地区：[1]中国电子科技集团公司第二十八研究所,江苏南京210007 [2]南京航空航天大学民航学院,江苏南京211100

出　　处：《航空计算技术》2015年第1期56-60,共5页Aeronautical Computing Technique

基　　金：江苏省自然科学基金青年基金项目资助(BK20140078)

摘　　要：针对当今机场场面优化对象仅为某一独立环节的情况,梳理联合优化框架,利用已有的单一环节优化模型,建立了滑行路径规划与停机位分配联合优化模型,并设计了禁忌搜索算法流程,最终降低了航班进离场资源占用时间。将优化模型分别植入空域管理与评估系统(ACES)的空侧容量评估系统中进行仿真分析,结果表明,联合优化模型能够在综合考虑机场运行实际的条件下大幅提升空侧容量,改善机场运行效率与资源配置情况。According to the situation of airport surfaceoptimization aimed at a separate link,framework of joint optimization was summarized,based on the existing optimization model of separate link,aimed at reducing resource usage time of surface operation,joint optimization model of gate assignment and taxi scheduler was established and the process of Tabu search algorithm was proposed. Simulation analysis of implanting the optimization model into evaluation system of airport airside capacityof ACESshowed that optimization model significantly enhanced airside capacity and the efficiency of airport operations.

关 键 词：场面优化 滑行路径规划 停机位分配 禁忌搜索 容量评估 

分 类 号：V355[航空宇航科学与技术—人机与环境工程]