Ebola Optimization Search Algorithm
Version 1.0.0 (1.88 KB) by
praveen kumar
sphere function is tested
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
Platform Compatibility
Windows macOS LinuxTags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
EB
Version | Published | Release Notes | |
---|---|---|---|
1.0.0 |