NAME

Algorithm::Evolutionary - Perl extension for performing paradigm-free evolutionary algorithms.

SYNOPSIS

use Algorithm::Evolutionary;

DESCRIPTION

Algorithm::Evolutionary is a set of classes for doing object-oriented evolutionary computation in Perl. Why would anyone want to do that escapes my knowledge, but, in fact, we have found it quite useful for our own purposes. Same as Perl itself.

The design principle of Algorithm::Evolutionary is flexibility: it should be very easy to extend using this library, and it should be also quite easy to program what's already there in the evolutionary computation community. Besides, the library classes should have persistence provided by XML modules, and, in some cases, YAML.

The algorithm allows to create simple evolutionary algorithms, as well as more complex ones, that interface with databases or with the web.

The project is hosted at Sourceforge . Latest aditions, and nightly updates, can be downloaded from there before they are uploaded to CPAN. That page also hosts the mailing list, as well as bug reports, news, updates, whatever.

In case the examples are hidden somewhere in the C<.cpan> directory, you can also download them from the CVS repository, and the -examples tarballs in the file download area of that repositoryAUTHOR Main author and developer is J. J. Merelo, jmerelo (at) geneura.ugr.es. There have also been some contributions from Javi García, fjgc (at) decsai.ugr.es and Pedro Castillo, pedro (at) geneura.ugr.es. Patient users that have submitted bugs include jamarier. Bugs, requests and any kind of comment are welcome.

Examples

There are a few examples in the examples subdirectory, which should have been included with your CPAN bundle. Foor instance, check out tide_float.pl, an example of floating point vector optimization, or run_easy_ga.pl p_peaks.yaml, which should run an example of a simple GA on the P_Peaks deceptive function.

SEE ALSO

Algorithm::Evolutionary::Op::Base. Algorithm::Evolutionary::Individual::Base. Algorithm::Evolutionary::Fitness::Base. Algorithm::Evolutionary::Experiment. Algorithm::Evolutionary::XML