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《Journal of Chongqing Jiaotong University(Natural Science)》 2007-S1
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Method to Transition Traffic Flow Problem by Multiple Objectives Programming Model Based on Genetic Algorithm

LIN Ying1,2,SU Ri-na1(1.School of Management,Chongqing Jiaotong University, Chongqing 400074,China;2.Information Engineering,Tianjin University,Tianjin 300072,China)  
Taking the cross for example,on the basis of the relationship between exit traffic flow,entrance traffic flow and turning flow,the objective function was fixed through the minimum sum of absolute value of the differences between the measured value of entrance traffic flow as well as the sum of computed value of entrance traffic flow and the differences between the measured value of exit traffic flow and the sum of computed value of exit traffic flow.By considering the range of turning flow as constraint conditions,a multiple objectives programming model was built up to solve the turning flow problem.Then,taking use of the parallel computing of genetic algorithm,a method to solve the turning flow problem was put forward by using multiple objectives programming model based on genetic algorithm.Finally,the effectiveness of this method was illustrated by an example.
【Fund】: 重庆市教委科研项目(KJ060407)
【CateGory Index】: U491.113
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