Citation

Saifulezam, Amirul Hakim and Mohamad, Khairul Ikhwan and Ab. Aziz, Nor Azlina (2022) Optimizing Vaccine Distribution Using Sine Cosine Algorithm with Mutation. Journal of Engineering Technology and Applied Physics, 4 (2). pp. 5-10. ISSN 26828383

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Abstract

Vaccination is the best approach in curbing the spread of a pandemic. However, during pandemic one of the challenge is limited number of vaccine due to limited manufacturing capacity and high demand. Therefore, optimal vaccine distribution is needed to ensure maximum effectiveness in decreasing the total infections in the population. In this paper, the vaccine distribution is optimized using sine cosine algorithm improved with mutation (SCAmut). The SEIR model of H1N1 pandemic in 2009 is used as the case problem here. The effectiveness of SCAmut vaccine deployment is studied using two factors, which are vaccine coverage percentage and vaccine releasing time. The algorithm's result is compared with three traditional methods and original SCA without mutation. The findings suggested that the proposed SCAmut is able to provide more effective vaccination distributions better than the three traditional methods and also the original SCA.

Item Type:	Article
Uncontrolled Keywords:	Vaccine deployment, H1N1, SEIR, Sine cosine algorithm, Mutation
Subjects:	Q Science > QA Mathematics > QA299.6-433 Analysis Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75-76.95 Calculating machines
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Mr. MUHAMMAD AZRUL MOSRI
Date Deposited:	08 Aug 2024 03:48
Last Modified:	08 Aug 2024 03:48
URII:	http://shdl.mmu.edu.my/id/eprint/12780

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