NAME

SYNOPSIS

  #Short way of loading a lot of modules, POE-style
  use Algorithm::Evolutionary qw( Op::This_Operator
                                  Individual::That_Individual
                                  Fitness::Some_Fitness); 

  # other modules with explicit importation
  use Algorihtm::Evolutionary::Utils (this_util that_util);

DESCRIPTION

The main design principle of Algorithm::Evolutionary is flexibility: it should be very easy to create your own evolutionary algorithms 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 YAML.

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

 @article {springerlink:10.1007/s00500-009-0504-3,
   author = {Merelo Guervós, Juan-Julián and Castillo, Pedro and Alba, Enrique},
   affiliation = {Universidad de Granada Depto. Arquitectura y Tecnología de Computadores, ETS Ingenierías Informática y Telecomunicaciones Granada Spain},
   title = {Algorithm::Evolutionary, a flexible Perl module for evolutionary computation},
   journal = {Soft Computing - A Fusion of Foundations, Methodologies and Applications},
   publisher = {Springer Berlin / Heidelberg},
   issn = {1432-7643},
   keyword = {Computer Science},
   pages = {1091-1109},
   volume = {14},
   issue = {10},
   url = {http://dx.doi.org/10.1007/s00500-009-0504-3},
   note = {10.1007/s00500-009-0504-3},
   year = {2010}
 }

or

 @InProceedings{jj:2008:PPSN,
   author =     "Juan J. Merelo and  Antonio M. Mora and Pedro A. Castillo
                 and Juan L. J. Laredo and Lourdes Araujo and Ken C. Sharman
                 and Anna I. Esparcia-Alcázar and Eva Alfaro-Cid
                 and Carlos Cotta",
   title =      "Testing the Intermediate Disturbance Hypothesis: Effect of
                 Asynchronous Population Incorporation on Multi-Deme
                 Evolutionary Algorithms",
   booktitle =  "Parallel Problem Solving from Nature - PPSN X",
   year =       "2008",
   editor =     "Gunter Rudolph and Thomas Jansen and Simon Lucas and
                  Carlo Poloni and Nicola Beume",
   volume =     "5199",
   series =     "LNCS",
   pages =      "266-275",
   address =    "Dortmund",
   month =      "13-17 " # sep,
   publisher =  "Springer",
   keywords =   "genetic algorithms, genetic programming, p2p computing",
   ISBN =       "3-540-87699-5",
   doi =        "10.1007/978-3-540-87700-4_27",
   size =       "pages",
   notes =      "PPSN X",
 }

Examples

Some other examples are installed: check out tide_bitstring.pl, tide_float.pl and canonical-genetic-algorithm.pl, which you can run and play with to get a taste of what EA programming is like, and then ammend, add and modify at leisure to create your own evolutionary algorithms. For a GUI example, check rectangle-coverage.pl, which uses Tk to show the population and its evolution. You will need to install the required modules, however, since it needs additional ones to those required by this module.

DISCUSSION, FEATURE REQUESTS

BUGS?

AUTHOR

SEE ALSO

Algorithm::Evolutionary::Op::Base.

Algorithm::Evolutionary::Individual::Base.

Algorithm::Evolutionary::Fitness::Base.

Algorithm::Evolutionary::Experiment.

Algorithm::Evolutionary::Run.

Algorithm::Evolutionary::Op::CanonicalGA.

POE::Component::Algorithm::Evolutionary if you want to mix evolutionary algorithms with anything else easily.

Algorithm::MasterMind::Evolutionary uses this library to find the solution to the MasterMind Puzzle.

You might also be interested in one of the other perl GA and evolutionary computation modules out there, such as AI::Genetic::Pro.

Copyright