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

A simple genetic algorithm with a tweak, called clamping, that should improve performance
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Updated 17 Dec 2010

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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!

Cite As

Keki Burjorjee (2024). TurboGA: A Simple Genetic Algorithm With a Powerful Performance Enhancing Tweak (https://www.mathworks.com/matlabcentral/fileexchange/24053-turboga-a-simple-genetic-algorithm-with-a-powerful-performance-enhancing-tweak), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R14
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.6.0.0

Changed description. No changes to code.

1.5.0.0

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1.3.0.0

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1.2.0.0

updated description

1.1.0.0

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1.0.0.0