Code covered by the BSD License  

Highlights from
New Approaches to Constrained Optimization in MATLAB

Be the first to rate this file! 15 Downloads (last 30 days) File Size: 8.7 KB File ID: #9293
image thumbnail

New Approaches to Constrained Optimization in MATLAB

by Rakesh Kumar

 

07 Dec 2005 (Updated 07 Dec 2005)

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

| Watch this File

File Information
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 Global Optimization Toolbox
Optimization Toolbox
MATLAB release MATLAB 7.1.0 (R14SP3)
Tags for This File  
Everyone's Tags
Tags I've Applied
Add New Tags Please login to tag files.
Please login to add a comment or rating.
Tag Activity for this File
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

Contact us at files@mathworks.com