Journal of Guangxi Normal University(Natural Science Edition) ›› 2020, Vol. 38 ›› Issue (6): 1-13.doi: 10.16088/j.issn.1001-6600.2020.06.001

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Location and Dispatching of Multiple Emergency Materials Center Based on Fusion Immune Optimization and Genetic Algorithm

XU Lunhui*, CAO Yuchao, LIN Peiqun   

  1. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou Guangdong 510640, China
  • Received:2020-03-02 Published:2020-11-30

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Abstract: Material allocation in the face of sudden disasters is an important part of the transportation dispatching system. In order to better solve the rescue problem at the disaster site, an integrated solution for emergency material center location-dispatching and distribution is established. In this paper, the immune optimization algorithm is used in the logistics distribution center location problem. Considering the constraints and optimization objectives of this problem, mathematical models of logistics distribution center location and multi-objective material scheduling problems are established. Comprehensively considering the distance cost and transportation cost in the transportation process, a cost assessment model is established, and an immune optimization algorithm is used to obtain the optimal location plan for emergency materials centers. According to the location results and the total value of transportation, the coding method is improved based on genetic algorithms combined with multi-objective-multi-objective scheduling problems, and a multi-layered genetic algorithm is used to develop a globally optimal material center-demand point material scheduling and distribution plan. Combined with the epidemic situation of new coronavirus in Hubei Province, based on the fusion of the two methods, a set of reasonable and efficient emergency material center location-scheduling scheme are realized, which demonstrate the rationality and efficiency of the method. This result may have significant effects on emergency materials disposal in disaster scenarios.

Key words: disaster environment emergency, center location, dispatch and distribution, immune optimization algorithm, multi-layer coding genetic algorithm

CLC Number: 

  • U116.2
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