The GA package
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.
|Versions||0.1, 0.2, 1.0|
|Dependencies||base (4.*), directory, random|
|Copyright||(c) 2011 Kenneth Hoste|
|Category||AI, Algorithms, Optimisation|
|Source repository||git clone git://github.com/boegel/GA.git|
|Upload date||Wed Aug 31 21:46:16 UTC 2011|