TurboGA: A Simple Genetic Algorithm With a Powerful Performance Enhancing Tweak
by Keki Burjorjee
08 May 2009
(Updated 17 Dec 2010)
A simple genetic algorithm with a tweak, called clamping, that should improve performance
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| File Information |
| 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 |
The author wishes to acknowledge the following in the creation of this submission:
SpeedyGA: A Fast Simple Genetic Algorithm
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| MATLAB release |
MATLAB 7 (R14)
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| Updates |
| 11 May 2009 |
Updated description |
| 11 May 2009 |
updated description |
| 18 Aug 2009 |
Updated description. |
| 16 Dec 2010 |
Updated contact email. No change to code. |
| 17 Dec 2010 |
Changed description. No changes to code. |
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