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Speeding Up Optimization Problems with Parallel Computing

version 1.0.0.1 (1.65 MB) by Stuart Kozola
Files from the webinar: Speeding up optimization problems with parallel computing

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Updated 01 Sep 2016

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Editor's Note: This file was selected as MATLAB Central Pick of the Week

Fiels from the webinar: Speeding up optimization problems with parallel computing
Description: This download contains the MATLAB functions/scripts used in the August 10th webinar http://www.mathworks.com/videos/speeding-up-optimization-problems-using-parallel-computing-81753.html .
There are five examples that show how to use parallel computing to speed up optimization problems.

Cite As

Stuart Kozola (2020). Speeding Up Optimization Problems with Parallel Computing (https://www.mathworks.com/matlabcentral/fileexchange/28487-speeding-up-optimization-problems-with-parallel-computing), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (2)

arwa ahmed

1

I'm using ga solver with custom population type,
each entities is a binary vector,
I'm writing the crossover and the mutation functions,
How can I avoid the creation of children olready tested?
I'm searching for a solution compatible with the parallelization.

Thanks in advance for the answers,
Lorenzo

Updates

1.0.0.1

Updated license

MATLAB Release Compatibility
Created with R2010a
Compatible with any release
Platform Compatibility
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