The GA package

[Tags: bsd3, library]

This package provides a framework for working with genetic algorithms. A genetic algorithm is an evolutionary technique, inspired by biological evolution, to evolve entities that perform as good as possible in terms of a predefined criterion (the scoring function). Note: lower scores are assumed to indicate better entities. The GA module provides a type class for defining entities and the functions that are required by the genetic algorithm. Checkpointing in between generations is available, as is automatic restoring from the last available checkpoint.


Versions0.1, 0.2, 1.0
Dependenciesbase (==4.*), directory, random, transformers
Copyright(c) 2011 Kenneth Hoste
AuthorKenneth Hoste
CategoryAI, Algorithms, Optimisation
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Source repositoryhead: git clone git://
UploadedTue Sep 27 18:21:49 UTC 2011 by KennethHoste
Downloads823 total (56 in last 30 days)
StatusDocs uploaded by user
Build status unknown [no reports yet]




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