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Global Optimization with MATLAB

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Global Optimization with MATLAB

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Demo files from the 2010 webinar "Global Optimization with MATLAB Products"

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Description

This submission contains the demo files used in the Global Optimization with MATLAB webinar: http://www.mathworks.com/videos/global-optimization-with-matlab-products-81716.html

MultStart Demos

    * Peaks Minimization
    * Nonlinear Curve Fitting

GlobalSearch Demos

    * Peaks Minimization
    * Volumentric Efficiency Maximization

Simulated Annealing Demos

    * Peaks Minimization
    * Eight Queens Problem
    * Galactic Traveling Salesman

Pattern Search Demos

    * Peaks Minimization
    * Mount Washington Demo

Genetic Algorithm Demos

    * Peaks Minmiziation
    * Rastrigins Function Minimization
    * Partical Swarm Example
    * Multiobjective Genetic Algorithm

Comparison of Solvers on Rastrigins Function

    * Comparison of Multiple Solvers on Rastrings

Required Products Global Optimization Toolbox
Optimization Toolbox
Parallel Computing Toolbox
MATLAB release MATLAB 7.10 (R2010a)
Other requirements Global Optimization Toolbox (fromerly Genetic Algorithm and Direct Search Toolbox)
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Comments and Ratings (9)
03 Jun 2014 Joseph Eom  
14 Mar 2014 Yvan Lengwiler

Stuart,
Thank you very much for this tutorial. Very helpful. In particular the way you tweak the ga to make behave like a swarm is nice. Question: is ga an implementation of the differential evolution of Storn and Price (1997)?

20 Jan 2014 smelde

hi,
i´m doing research and writing my master thesis. the assessed problem is a mixed integer linear problem. i´d like to apply a PSO within the global optimization toolbox and ga algorithm.

however, the ga optimization ignores the SelectionFcn, which has been defined as the core of the PSO.
could anyone help with this problem, please?
thanks a lot in advance

12 Mar 2012 sunil chhipa

nice work

11 Sep 2010 t g

i am doing my university project on manufacturing cell design using PSO tool. The problem is defined as a part/machine incidence matrix which maps part and machine, and the clustering should be formed block diagonally in order to make the cells. the objective is to minimize exceptional element count (EE). the PSO particle string should contain the cell nos. and index of the string are the machine nos.
Since i am new to this field, facing problem to implement the logic and code. Can anyone help in this regards. Matlab is the interface of the program. the problem is shown in a link http://www.mypicx.com/uploadimg/53506343_09112010_1.jpg

09 Aug 2010 karthikeyan kumaravel  
12 Jul 2010 yang

Great

06 Jun 2010 Narasimha Nagaiah  
15 Apr 2010 Jason Miller

Looks sweet, thanks for the contribution

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