New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems.
Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to HTML. Copy and paste also works of course.
Some readers may find this tool valuable if only for the function pleas - a partitioned least squares solver based on lsqnonlin.
This is a work in progress, as I fully expect to add new topics as I think of them or as suggestions are made. Suggestions for topics I ve missed are welcome, as are corrections of my probable numerous errors. The topics currently covered are listed below
This demo shows how to use MATLAB, optimization Toolbox, and Genetic Algorithm and Direct Search Toolbox to optimize the design of a double wishbone suspension system.
This my phd thesis for the WDM optical network optimization, which employs convex optimization techniques to solve the proposed integer problems. The computation complexity of my optimization framework is very low compared with other existing method and a performance bound is provided at the same time.
This directory contains the Genetic Algorithm optimization Toolbox for
Matlab
To use this, if you are local to NCSU and have AFS access to this
directory, simply extend the matlab path using the following command.
You can also place this command in a file called startup.m. Everytime
you start Matlab in the directory containing this file, the path will
always be extended.
