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《Industrial Engineering Journal》 2017-03
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A Fuzzy Multi-objective Optimization of Post-earthquake Emergency Logistics Systems Based on Bi-level Programming and Mixed Transportation

SHEN Xiaobing;YANG Baohua;Business School, Jiangsu Normal University;  
To enhance the efficiency of the post-earthquake emergency rescue and reduce the cost, taking into consideration of the fuzzy demand of relief materials, a multi-objective optimization model of the bi-level mixed transportation with transshipment facilities is established, whose goal is to minimize the insufficiency in emergency material demand, the service time as well as the total cost. Then a hybrid genetic algorithm based on sub stage decoding method is designed to solve the model. Finally, the validity and feasibility of the model and algorithm are demonstrated by a numerical example derived from Yushu earthquake. The results show that the proposed genetic algorithm has a good performance.
【Fund】: 国家自然科学基金资助项目(71301064);; 教育部人文社科基金资助项目(12YJC630262)
【CateGory Index】: F252.1
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