A Fuzzy Multi-objective Optimization of Post-earthquake Emergency Logistics Systems Based on Bi-level Programming and Mixed Transportation

doi:10.3969/j.issn.1007-7375.e16-1083

Abstract

Abstract: 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.

Key words: post-earthquake, relief materials, bi-level programming and mixed transportation, fuzzy multi-objective optimization, hybrid genetic algorithm

CLC Number:

F252
U116

SHEN Xiaobing, YANG Baohua. A Fuzzy Multi-objective Optimization of Post-earthquake Emergency Logistics Systems Based on Bi-level Programming and Mixed Transportation[J]. Industrial Engineering Journal , 2017, 20(3): 113-117.

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