A Multi-Source Distribution Optimization of Post-disaster Emergency Logistics Based on Real-Time Traffic Information
HU Zhongjun
LIU Yanqiu
LI Jia
Abstract：For emergency scheduling and distribution after disaster, the three-level multi-source distribution system is treated as a research object. A mathematical model about maximum satisfaction level is constructed based on equity. In the model, the effect of updating real-time traffic information on distribution scheme is taken into account. Also, a hybrid genetic algorithm with tabu search algorithm is improved. The results show that the real-time traffic information has a higher degree of disaster satisfaction and faster response than static scenarios.
Keywords：post-emergency logisticsmulti-source distribution optimizationreal-time traffic informationhybrid genetic algorithm
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 83-88 )