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For 3-D MINIMIZATION Problems
You should adapt the code for multi-dimensional (N-D) problems.
The code use anonymous functions for the optimization. Some test functions are provide for tests.
Reference:
de Castro, L. N., and Von Zuben, F. J. Learning and Optimization Using the Clonal Selection Principle. IEEE Transactions on Evolutionary Computation. v. 6(3). 2002. DOI: 10.1109/TEVC.2002.1011539
Cite As
David Franco (2026). CLONALG - Clonal Selection Algorithm for Optimization Problems (https://au.mathworks.com/matlabcentral/fileexchange/67010-clonalg-clonal-selection-algorithm-for-optimization-problems), MATLAB Central File Exchange. Retrieved .
General Information
- Version 2.0.0.0 (297 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
