New Approaches to Constrained Optimization in MATLAB

Version 1.0.0.1 (8.7 KB) by Rakesh Kumar
M-files accompanying the webinar held on November 05, 2005
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M-files accompanying the webinar titled "New Approaches to Constrained Optimization in MATLAB" held on November 05, 2005
These files provide what you need to run the two demos:
1) The first demo is a demonstration of bound constrained optimization of non-smooth objective function using GA and also using a Hybrid function (using GA with another optimization solver). The demo can be run by the either GAdemo_GUI_Version.m M-file or GAdemo_NO_GUI_Version.m M-file.

2) The second demo is a demonstration of new approaches to nonlinear constrained optimization using the GA and PATTERNSEARCH solvers in the Genetic Algorithm and Direct Search Toolbox.

Cite As

Rakesh Kumar (2024). New Approaches to Constrained Optimization in MATLAB (https://www.mathworks.com/matlabcentral/fileexchange/9293-new-approaches-to-constrained-optimization-in-matlab), MATLAB Central File Exchange. Retrieved .

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GA_demo/

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Version Published Release Notes
1.0.0.1

Updated license
1.0.0.0