PI-D CONTROLLER BASED ON AN IMPROVED CROW SEARCH ALGORITHM F
Version 1.0.0 (3.44 KB) by
Mohammed Ayad Hussein
Improvement of the crow search algorithm has extreme convergence for optimal value.
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.
MATLAB Release Compatibility
Created with
R2019a
Compatible with R2014b and later releases
Platform Compatibility
Windows macOS LinuxTags
Acknowledgements
Inspired by: Crow Search Algorithm
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Version | Published | Release Notes | |
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1.0.0 |