首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于差分进化算法的区域OD矩阵反推分析
引用本文:崔伟,孙有信,李睿,王攀,何妍.基于差分进化算法的区域OD矩阵反推分析[J].交通科技与经济,2013,15(1):44-46.
作者姓名:崔伟  孙有信  李睿  王攀  何妍
作者单位:兰州交通大学交通运输学院,甘肃兰州,730070
摘    要:利用极大熵模型反推OD分布矩阵,引入差分进化算法来求解极大熵模型。采用差分进化算法,与传统方法相比,能够提高求解极大熵模型的速度与精度,从而提高OD矩阵推算的准确度。最后,利用简单实例分析该使用方法的有效性。

关 键 词:OD推算  极大熵模型  差分进化算法  模型求解

The regional OD-matrix deduction based on differential evolution algorithm
CUI Wei , SUN You-xin , LI Rui , WANG Pan , HE Yan.The regional OD-matrix deduction based on differential evolution algorithm[J].Technology & Economy in Areas of Communications,2013,15(1):44-46.
Authors:CUI Wei  SUN You-xin  LI Rui  WANG Pan  HE Yan
Institution:(School of Traffic and Transportation,Lanzhou Jiaotong University,Lanzhou 730070,China)
Abstract:A maximum entropy model is used to calculate the OD distribution matrix and then a differential evolution algorithm is applied to the maximum entropy model. By introducing the differential evolution algorithm the algorithm can improve the speed and accuracy of solving maximum entropy model, thus improving the accuracy of calculating OD matrix. Finally, a simply example is taken to analyse the efficiency of this method.
Keywords:OD-matrix deduction  maximum entropy model  differential evolution algorithm  model solution
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号