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New Approaches to Constrained Optimization in MATLAB

by Rakesh Kumar

 

07 Dec 2005 (Updated 07 Dec 2005)

Code covered by the BSD License  

M-files accompanying the webinar held on November 05, 2005

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Description

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.

View the recorded webinar here:
www.mathworks.com/wbnr11066

Acknowledgements

The author wishes to acknowledge the following in the creation of this submission:
Optimization with MATLAB and the Genetic Algorithm and Direct Search Toolbox

Required Products Genetic Algorithm & Direct Search Tlbx
Optimization Toolbox
MATLAB release MATLAB 7.1.0 (R14SP3)
Zip File Content  
Other Files Nonlinear_constrained_optim_demo/springObjective.m,
Nonlinear_constrained_optim_demo/helicalSpringOptimization.m,
Nonlinear_constrained_optim_demo/springConstraints.m,
GA_demo/nonSmoothFcn.m,
GA_demo/showNonSmoothFcn.m,
GA_demo/GAdemo_GUI_Version.m,
GA_demo/GAdemo_NO_GUI_Version.m
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Tag Applied By Date/Time
optimization Rakesh Kumar 22 Oct 2008 08:09:19
genetic algorithm Rakesh Kumar 22 Oct 2008 08:09:19
pattern search Rakesh Kumar 22 Oct 2008 08:09:19
nonsmooth Rakesh Kumar 22 Oct 2008 08:09:19
direct search Rakesh Kumar 22 Oct 2008 08:09:19
direct search Krzysztof 30 Jan 2009 07:53:45
 

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