Coronavirus Disease Optimization Algorithm (COVIDOA)
Coronavirus Disease Optimization Algorithm is a novel meta-heuristic method for solving optimization problems
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Coronavirus Disease Optimization Algorithm is a novel meta-heuristic algorithm that simulates the replication mechnism of Coronavirus inside human body.
Main Reference: Khalid, A. M., Hosny, K. M., & Mirjalili, S. (2022). COVIDOA: a novel evolutionary optimization algorithm based on coronavirus disease replication lifecycle. Neural Computing and Applications, 1-28.
Cite As
Asmaa khaled (2026). Coronavirus Disease Optimization Algorithm (COVIDOA) (https://in.mathworks.com/matlabcentral/fileexchange/118775-coronavirus-disease-optimization-algorithm-covidoa), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (3.96 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
