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《Journal of Transportation Systems Engineering and Information Technology》 2016-06
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Modeling and Solving the Vehicle Routing Problem with Multiple Fuzzy Time Windows

YAN Fang;WANG Yuan-yuan;School of Economics and Management,Chongqing Jiaotong University;  
Based on the characteristics that the customers could accept service in multiple time periods and the fuzziness of service time periods, this paper deals with the multiple time windows as fuzzy variables and quantifies the customers' satisfaction level according to the membership function of the beginning time to be served, on the basis of the given acceptable satisfaction level, the vehicle routing model with multiple fuzzy time windows is constructed in order to minimize the total cost and maximize the satisfaction level. Then according to the model characteristics, we use the punishment factors to deal with the constraints and apply particle swarm operations to solve the proposed problems. The experimental results show that the effectiveness of proposed algorithm in solving the vehicle routing problems with multiple fuzzy time windows. Comparing the calculated results with the original results, it is found that our proposed model is more effective to reduce the cost of distribution.
【Fund】: 国家自然科学基金(71401020);; 系统科学与企业发展研究中心一般项目(Xq15C03);; 河北省高等学校人文社会科学研究项目(BJ2016057)~~
【CateGory Index】: U116.2
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