CDM机制下不正常航班恢复的多目标规划模型  

Abnormal Flights Recovery by Multi-objective Programming Model Based on CDM

作　　者：罗凤娥[1] 任栋[1] 张成伟[1] 

机构地区：[1]中国民用航空飞行学院空中交通管理学院,四川广汉619073

出　　处：《航空计算技术》2015年第6期23-27,31,共6页Aeronautical Computing Technique

基　　金：中国民航局科技创新引导资金项目资助(2146095)

摘　　要：目前对于不正常航班的恢复研究,航空公司的决策目标主要有两个:成本损失最小和旅客总延误时间最短,而没有从航空公司本身的决策偏好进行分析。针对此项缺点,建立成本损失最小和旅客总延误时间最少的多目标规划模型,并以航空公司本身的决策偏好为权重系数,将多目标规划模型转换为单目标规划模型。对以0-1随机数方式形成遗传算法的数据进行编码,结合实例运用Matlab中求解。计算时间大大缩减,满足实际工作中对求解质量和求解速度的要求。Current research for abnormal flight recovery,decision it has two main goals for airline： the minimum cost and the shortest passenger total delay time,and has no analysis from airlines decision preference. For this shortcoming,to establish a multi- objective programming model with both the minimum cost and the shortest passenger total delay time. Take airline decision preference as weight coefficient,and transform the multi- objective programming model to a single objective programming model. Coding data by random 0-1 in genetic algorithm,combining with an instance of abnormal flight,and solve it by Matlab. Compute time is been shorted,and meet practical work requirement for the results quality and solving speed.

关 键 词：CDM 不正常航班 多目标规划 遗传算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]