Ebola Optimization Search Algorithm

バージョン 1.0.0 (1.88 KB) 作成者: praveen kumar
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更新 2024/4/13

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The Ebola Optimization Search Algorithm (EOSA) is a metaheuristic optimization algorithm inspired by the transmission dynamics of the Ebola virus. It was proposed by Saeid Saryazdi et al. in 2020. EOSA simulates the process of virus transmission and aims to find optimal solutions by iteratively updating the population based on the dynamics of the spread.

引用

praveen kumar (2024). Ebola Optimization Search Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/163316-ebola-optimization-search-algorithm), MATLAB Central File Exchange. 取得済み .

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