Optimization with MATLAB and the Genetic Algorithm and Direct Search Toolbox
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'.
Zitieren als
Rakesh Kumar (2024). 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. Abgerufen .
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- Mathematics and Optimization > Global Optimization Toolbox > Direct Search >
- Mathematics and Optimization > Global Optimization Toolbox > Genetic Algorithm >
- Mathematics and Optimization > Global Optimization Toolbox > Multiobjective Optimization >
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Inspiriert: New Approaches to Constrained Optimization in MATLAB, G. A.
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1.0.0.1 | Updated license |
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