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Optimizing Vaccine Distribution for Different Age Groups of Population Using DE Algorithm

Authors
Hu, Xiao-MinZhang, Jun
Issue Date
Dec-2013
Publisher
IEEE
Keywords
Differential evolution; optimization; vaccine distribution
Citation
2013 Ninth International Conference on Computational Intelligence and Security, pp 21 - 25
Pages
5
Indexed
SCI
SCOPUS
Journal Title
2013 Ninth International Conference on Computational Intelligence and Security
Start Page
21
End Page
25
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/115864
DOI
10.1109/CIS.2013.12
Abstract
Vaccination is one of the most promising methods to control the epidemic spread by protecting the most vulnerable population and reducing the number of susceptible population who are exposed to the virus. However, the vaccine doses are usually limited and can only be supplied during the epidemic outbreak. How to distribute the vaccines to different populations to reduce the total number of infectious people is important to the public health. In this paper, a DE algorithm is proposed to solve the problem by searching for the optimal strategy to distribute the limited vaccines to different age groups of population. The performance of the algorithm is compared with three strategies in the literature. The results show that the proposed algorithm can offer more effective vaccine distributions significantly.
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ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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