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