Kenneth Hoste | 29 Sep 21:45 2011
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ANNOUNCE: GA-1.0, a library for working with genetic algorithms

Hello,

I'm proud to announce the v1.0 release of GA [1], my library for working with genetic algorithms in Haskell. 
Source repo is available on github. [2]

This is a major version bump compared to the previous v0.2 release, because the library is pretty mature now
in my view.

Major features:

* flexible user-friendly API for working with genetic algorithms
* Entity type class to let user define entity definition, scoring, etc.
* abstraction over monad, resulting in a powerful yet simple interface
* support for scoring entire population at once
* support for checkpointing each generation, and restoring from last checkpoint
* convergence detection, as defined by user
* also available: random searching, user-defined progress output
* illustrative toy examples included

I'm happy to take any questions or suggestions that you might have.

[1] http://hackage.haskell.org/package/GA
[2] https://github.com/boegel/GA

Gmane