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Optimization of Emergency Living Supplies Location Selection in Closed Management Environment
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Chun-yan SHUAI1, Qi YIN1, Xiao-qi ZHANG1, Wen-cong WANG2, Xin OUYANG3
Science Technology and Engineering | 2025, 25(15) : 6368 - 6377
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Science Technology and Engineering | 2025, 25(15): 6368-6377
Papers·Electrical Technology
Optimization of Emergency Living Supplies Location Selection in Closed Management Environment
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Chun-yan SHUAI1, Qi YIN1, Xiao-qi ZHANG1, Wen-cong WANG2, Xin OUYANG3
Affiliations
  • 1 School of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, China
  • 2 Hekou County Transportation Bureau, Honghe 661300, China
  • 3 School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
Published: 2025-05-28 doi: 10.12404/j.issn.1671-1815.2405850
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In the event of a public health emergency, the selection of the optimal distribution locations of daily necessities is crucial. Accordingly, the emergency distribution of daily necessities in Changchun City was taken as an example for empirical research and an optimization algorithm was proposed for the location of emergency supplies distribution. Initially, the virtual material warehouses, distribution candidate locations, and service coverage areas were determined by using K-means clustering and the Thiessen polygon method. Then, an optimization model was established with the goals of maximum coverage and minimum cost, and an improved genetic algorithm based on adaptive elite retention strategy was proposed to solve it. Empirical research had shown that the clustering algorithm could obtain 873 virtual material warehouses and distribution candidates, while Thiessen polygons could determine the reasonable coverage range of candidates, and improved genetic algorithms could obtain better 30 material warehouses and distribution locations. Data analysis had also found that there was a time lag between the distribution of supplies and effective control of infection. Therefore, once the rate of new additions exceeds the normal value, emergency supplies should be increased in advance to control further outbreaks of possible infections.The research results are beneficial for enhancing the ability of urban crisis management and emergency response, ensuring timely and efficient supply of daily necessities.

closed management environment  /  K-means clustering  /  adaptive elite preservation genetic algorithm (AEGA)  /  site selection optimization  /  hysteresis effect
Chun-yan SHUAI, Qi YIN, Xiao-qi ZHANG, Wen-cong WANG, Xin OUYANG. Optimization of Emergency Living Supplies Location Selection in Closed Management Environment[J]. Science Technology and Engineering, 2025 , 25 (15) : 6368 -6377 . DOI: 10.12404/j.issn.1671-1815.2405850
Year 2025 volume 25 Issue 15
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Article Info
doi: 10.12404/j.issn.1671-1815.2405850
  • Receive Date:2024-08-04
  • Online Date:2025-07-09
  • Published:2025-05-28
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  • Received:2024-08-04
  • Revised:2024-11-24
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Affiliations
    1 School of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, China
    2 Hekou County Transportation Bureau, Honghe 661300, China
    3 School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
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表12种不同金属材料的力学参数

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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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