Optimization with MATLAB and the Genetic Algorithm and Direct Search Toolbox
M-files used in the webinar held on September 16, 2004.
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M-files accompanying the " Genetic Algorithms & New Optimization Methods in MATLAB " webinar.
These files provide what you need to run the two demos: Optimization of non-smooth objective function, and Optimization of a random stochastic objective function.
To run the first demo run the file 'nonSmoothOpt.m'.
To run the second demo run the file 'PSdemo.m'.
The first demo is also used in the MATLAB digest article titled 'Optimization with MATLAB and the Genetic Algorithm and Direct Search Toolbox'.
Cite As
Rakesh Kumar (2026). Optimization with MATLAB and the Genetic Algorithm and Direct Search Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/6232-optimization-with-matlab-and-the-genetic-algorithm-and-direct-search-toolbox), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired: New Approaches to Constrained Optimization in MATLAB, G. A.
General Information
- Version 1.0.0.1 (10.4 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
