摘要
为减少航班预先排序与实际调度结果之间的差异,提高航班运行效率,研究基于多维关联规则分析的航班排序优化方法。利用优化后的多维关联规则分析方法挖掘航班排序差异的特征信息,借鉴生物接种疫苗后的免疫行为,将挖掘到的特征信息用于免疫算法优化航班预排序。仿真结果表明,较之前预排序,优化后的排序结果在总差异和每个航班的偏差方面都得到了改善,该方法可行有效。
To reduce the difference between the flight pre-scheduling results and the actual scheduling results,improve flights operating efficiency,a method of flight sorting optimization based on multidimensional association rule analysis was studied.The problem of sorting difference was analyzed by utilizing improved multidimensional association rule analysis method,mining the information of flight sorting difference.Regarding immune behaviors after vaccination,the information was applied to immune algorithm to improve flight sorting.Results of simulation show that the improved sorting results are better in terms of total sorting difference and single flight sorting deviation degree,demonstrating the validity and efficiency of the presented method.
出处
《计算机工程与设计》
北大核心
2016年第9期2553-2558,共6页
Computer Engineering and Design
基金
中国民航局科研基金项目(MHRD201241)
民航局科技创新引导资金专项基金项目(MHRD20130106
MHRD20140106
MHRD20150107)
关键词
数据挖掘
多维关联规则分析
免疫算法
航班排序
排序结果差异
data mining
multidimensional association rule analysis
immune algorithm
flight sorting
sorting result difference
