Ebola Optimization Search Algorithm

Version 1.0.0 (1.88 KB) by praveen kumar
sphere function is tested
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Updated 13 Apr 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.

Cite As

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

MATLAB Release Compatibility
Created with R2022b
Compatible with any release
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Windows macOS Linux
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Version Published Release Notes
1.0.0