A Fuzzy Multi-objective Optimization of Post-earthquake Emergency Logistics Systems Based on Bi-level Programming and Mixed Transportation
SHEN Xiaobing
YANG Baohua
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.
Keywords：post-earthquakerelief materialsbi-level programming and mixed transportationfuzzy multi-objective optimizationhybrid genetic algorithm
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 113-117 )