Package art.ga

Artificial Reasoning Toolkit library - Genetic algorithm.

See:
Description

Interface Summary

Fitness	Interface that have to be implemented by the user in order to define the fitness function in a optimization's static problem.
GaSolution	This interface represent the solution used by the user in order to manage the GA output.

Class Summary

Chromosome	This class contains methods useful to interact with the chromosome, that is a representation in the genetic algorithm's formalism of a "solution" of the simulated agent.
Events	This class deal with all the operations performed by the GA, defined evolutionary operations (like selection for reproduction, selection for die, crossover and mutation).
GaConfiguration	This class manage all the parameters of the GA reading them from an XML file.
GaManager	This is the only class that have to by accessed directly by the user in order to easily manage ART as a black box; it hides the internal structure of the genetic algorithm.
Gene	This class manage the genes.
Genome	This class manage the Genomes composing each Chromosome.
Log	This class manage the logging of some usefull statistics about population and chromosomes to files.
Population	The population is composed by many Chromosome and represent the space of solutions evaluated at the current generation.

Package art.ga Description

Artificial Reasoning Toolkit library - Genetic algorithm.

Package Specification

Compiled and tested with java 2 jdk 1.4.2.

Related Documentation

For updates, overviews, tutorials, examples, and documentation, please see the official website:

http://eco83.econ.unito.it/golem/