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Recent GA Features


Newer GAs (those developed in the '90s) feature several improvements which provide dramatic improvements. Try to employ a GA that utilizes:
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GA Links

These links are not in any way meant to be canonical. They are merely those sites which we have used in one form or another.

MSU GARAGe
Michigan State's Genetic Algorithms Research and Applications Group. Developers of GALOPPS, the public domain parallel GA software we've used for much of our GA work. This software evolves better solutions faster than sequential GAs. Highly recommended.
For recommendations on settings for parallel GA tuning parameters, see the following paper: An Efficient Migration Scheme for Subpopulation-Based Asynchronously Parallel Genetic Algorithms

SUGAL Genetic Algorithms Library
A very slick GA available for the MS Windows operating system. Still undergoing development.

Some Simple GA Codes
Nothing beats simple, easy to compile code when you're just starting out. I recommend the GENESIS package.

GA Archive- a newsletter
This is an index of back issues of a moderated newsletter covering GA topics.

Messy GA code
This is an ftp site for code provided by the Illinois Genetic Algorithms Laboratory (IlliGAL). Code for a messy GA (variable length genes) is available here.