GA: Genetic algorithm 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.
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- GA-1.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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Versions [RSS] | 0.1, 0.2, 1.0 |
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Change log | Changelog |
Dependencies | base (>=4 && <5), directory, random, transformers [details] |
Tested with | ghc ==6.12.1 |
License | BSD-3-Clause |
Copyright | (c) 2011 Kenneth Hoste |
Author | Kenneth Hoste |
Maintainer | kenneth.hoste@gmail.com |
Category | AI, Algorithms, Optimisation |
Home page | http://boegel.kejo.be |
Bug tracker | mailto:kenneth.hoste@gmail.com |
Source repo | head: git clone git://github.com/boegel/GA.git |
Uploaded | by KennethHoste at 2011-09-27T18:21:49Z |
Distributions | NixOS:1.0 |
Reverse Dependencies | 1 direct, 0 indirect [details] |
Downloads | 3578 total (12 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
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Status | Docs uploaded by user Build status unknown [no reports yet] |