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TurboGA: A Simple Genetic Algorithm With a Powerful Performance Enhancing Tweak

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5.0 | 1 rating Rate this file 18 Downloads (last 30 days) File Size: 4.27 KB File ID: #24053 Version: 1.6

TurboGA: A Simple Genetic Algorithm With a Powerful Performance Enhancing Tweak

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08 May 2009 (Updated )

A simple genetic algorithm with a tweak, called clamping, that should improve performance

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Description

TurboGA is an augmented version of the Matlab script SpeedyGA (also available on File Exchange). TurboGA uses a simple mechanism called clamping, which, according to a new theory about the workings of genetic algorithms (see http://www.cs.brandeis.edu/~kekib/dissertation.html ), should significantly improve the quality of the solutions returned, especially on large problems.

One of the most effective ways to test this new theory is by studying the efficacy of clamping on a range of problems. That's where you come in. I ask that you report on the efficacy of clamping on the problem(s) that you apply this script to. Please leave your comment on this page, or email it to kekib@cs.brandeis.edu.

Enjoy!

Acknowledgements

Speedy Ga: A Fast Simple Genetic Algorithm inspired this file.

This file inspired Speedy Ga: A Fast Simple Genetic Algorithm.

MATLAB release MATLAB 7 (R14)
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Comments and Ratings (3)
05 Aug 2016 Pikkin Lau  
04 Apr 2016 Riccardo Scarpa

Potentially of great help, but what about providing an example of application?

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02 Nov 2015 md.

md. (view profile)

How to optimize like matlab ga.

Please see for example
http://fr.mathworks.com/help/gads/examples/hybrid-scheme-in-the-genetic-algorithm.html

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Updates
11 May 2009 1.1

Updated description

11 May 2009 1.2

updated description

18 Aug 2009 1.3

Updated description.

16 Dec 2010 1.5

Updated contact email. No change to code.

17 Dec 2010 1.6

Changed description. No changes to code.

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