文献类型：会议论文

英文题名：Intelligent Optimization of Urban real-time traffic route based on Improved non-dominated Sorting Genetic Algorithm

作者：Zhu Min Su Bo Ning GangMin

第一作者：Zhu Min

通信作者：Zhu, M[1];Zhu, M[2]

机构：[1]Zhejiang Univ, Dept Biomed Engn, Hangzhou 310058, Zhejiang, Peoples R China;[2]Guizhou Univ, Guizhou Key Lab Agr Bioengn, Guiyang 550025, Peoples R China;[3]Guizhou Inst Technol, Guiyang 550025, Guizhou, Peoples R China

第一机构：Zhejiang Univ, Dept Biomed Engn, Hangzhou 310058, Zhejiang, Peoples R China

通信机构：corresponding author), Zhejiang Univ, Dept Biomed Engn, Hangzhou 310058, Zhejiang, Peoples R China;corresponding author), Guizhou Univ, Guizhou Key Lab Agr Bioengn, Guiyang 550025, Peoples R China.

会议论文集：6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer (MMEBC)

会议日期：JUN 11-12, 2016

会议地点：Tianjin, PEOPLES R CHINA

语种：英文

外文关键词：improved non-dominated sorting; genetic algorithm; traffic; route

年份：2016

摘要：Urban traffic is a real-time change, so the traditional serial algorithm cannot satisfy the requirement of traffic scale and condition changes. Therefore, this paper proposes a improved non-dominated sorting genetic algorithm for route optimization problem of multi-objects. Firstly, through the analysis of the optimization of the Pareto front solution set and the complexity of the algorithm, we determine the multi-objects problem to be optimized, and then we convert the problem into optimization problem of single-object fitness function, which is named as elitism mechanism. Through the strategy, we can obtain the optimal solution of real-time traffic condition.