Optimization Analysis of Emergency Material Distribution Methods Based on Complex Network Model and Cluster Analysis Model
DOI:
https://doi.org/10.54097/hset.v12i.1410Keywords:
Complex Network Model, Cluster Analysis Model, Optimization.Abstract
In order to ensure people's normal life, it is especially important to deliver emergency supplies in a timely and accurate manner. Along with the improvement of technology and the gradual popularization of 5G network, the application of drones is becoming more and more widespread, and the delivery mode of "delivery vehicle + drone" has gradually become a new and effective delivery method. The delivery mode of "delivery vehicle + drone" refers to the following: in the process of material delivery, the delivery vehicle delivers to a certain location at the same time, the drone can also deliver to the surrounding feasible locations, and return to the delivery vehicle to reload the materials and replace the battery after the delivery is completed. This distribution mode can greatly improve the efficiency of emergency supplies distribution, and can also solve the distribution of supplies under complex road conditions and avoid secondary damage to people from secondary disasters. This paper is motivated to study the distribution mode of emergency supplies based on complex network model and cluster analysis model.
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Zhang X, Li CH, Xue M, Li FZ, Ni H. Research on dynamic wireless power supply path planning for group robots based on array transmitter modules [J/OL]. Electrical Measurement and Instrumentation: 1-12 [2022-05-29].
Liu, C.S., Liu, R.S., Chen, Z.. Vehicle path problem of cold chain electric vehicles based on hybrid ant colony algorithm [J/OL]. Computer Applications: 1-8 [2022-05-29].
Xu Yuxin, Gu Chumei, Cao Jianjun, Xu Jinyong, Wei Zhihu. Individual identification of twin radiation sources based on ant colony feature selection parallel classification integrated learning [J/OL]. Journal of Military Engineering: 1-10 [2022-05-29].
Sun, P.N., Zhang, Z.M.. Smooth path planning for unmanned ships based on ant colony algorithm [J/OL]. Electronic Science and Technology: 1-8 [2022-05-29].
Xie YL. Hybrid ant colony-based optimization algorithm for multi-temperature cold chain logistics distribution path [J/OL]. Journal of Shenyang University of Technology:1-7 [2022-05-29].
Kong, W.L., Wang, F., Zhou, P.H., Wang, H.F.. Improved ant colony algorithm for UAV 3D path planning [J/OL]. Electro-Optics and Control: 1-8 [2022-05-29]
Zhang Xiong, Pan Dazhi. Fusion of neighborhood search strategy ant colony algorithm for solving vehicle path problems with time windows [J]. Computers and Modernization, 2022(03): 98-102+110.
Chen, Xingle, Huang, Yan-Yan, Chen, Tian-De. Offshore threat target threat level assessment and unmanned boat force allocation [J]. Firepower and Command Control, 2022, 47(03): 73-81.
Xiao Jinzhuang, Yu Xuelle, Zhou Gang, Sun Coco, Zhou Zhen. An improved ant colony algorithm for indoor AGV path planning [J]. Journal of Instrumentation, 2022, 43(03): 277-285.
Eddie Lu. Software regression testing process optimization for agile development [D]. Zhejiang University, 2022.
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