摘要
针对登机桥对接飞机过程中多重危险信息同时出现时,操作人员难以正确取舍的问题,分析接机过程中涉及的基础设施和人员等因素,采用层次分析法建立起模型,并根据专家答卷定量的分析各因素之间关系,最后得到接机过程的各因素的权重。分析权重计算算法,提出使用改进混沌粒子群算法求解最大特征值和特征向量。结果表明,改进粒子群算法比另外三种算法更加有效,所得的权重符合实际情况。
As for the multiple risk of the operator has difficulty in making the right choice in the process of docking aircraft, Factors such as infrastructure and personnel were analyzed during the this process. Aiming at this problem,Model is built by using AHP, which analyze the relationship between various factors by experts questionnaires. The final weight was obtained by various factors of the docking process. Algorithms for calculating weights are analyzed in AHP, Improved chaotic partiele swarm optimization algorithm is proposed to solve the maximum eigenvalue and eigenveetor. The results show that the improved particle swarm algorithm is more effective than the other three algorithms, The weights obtained accord with the actual situation.
作者
陈桂波
CHEN Gui-bo(Guangzhou Baiyun Airport Technology Development Co.,Ltd.,Guangzhou Guangdong 510410,China)
出处
《科技视界》
2018年第27期33-35,共3页
Science & Technology Vision
关键词
层次分析法
接机
粒子群
混沌
AHP
Docking aircraft
Particle swarm
Chaos