Ebola Optimization Search Algorithm

Version 1.0.0 (1,88 ko) par praveen kumar
sphere function is tested
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Mise à jour 13 avr. 2024

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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.

Citation pour cette source

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

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Version Publié le Notes de version
1.0.0