PI-D CONTROLLER BASED ON AN IMPROVED CROW SEARCH ALGORITHM F
Improvement of the crow search algorithm has extreme convergence for optimal value.
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
Improvement of the crow search algorithm has extreme convergence for optimal value. The modification includes adding inertia weight to next location generation, adding boundary handling and improving overall structure to show crow movement in search space, and the ability to do multiple runs and extract best one all the results tested using sphere function.
Cite As
“PI-D CONTROLLER BASED ON AN IMPROVED CROW SEARCH ALGORITHM FOR CANCER GROWTH TREATMENT.” Journal of Engineering and Sustainable Development, vol. 25, no. 6, Mustansiriyah University College of Engineering, Nov. 2021, pp. 82–90, doi:10.31272/jeasd.25.6.9.
Acknowledgements
Inspired by: Crow Search Algorithm
General Information
- Version 1.0.0 (3.44 KB)
MATLAB Release Compatibility
- Compatible with R2014b and later releases
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
