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Man Pages


Manual Reference Pages  -  ALGORITHM::EVOLUTIONARY (3)

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NAME

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

CONTENTS

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

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 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 Guervo\k:'Juan-Julia\k:'and Castillo, Pedro and Alba, Enrique},
   affiliation = {Universidad de Granada Depto. Arquitectura y Tecnologiá de Computadores, ETS Ingenieriás Informa\k:'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-Alca\k:'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

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

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

Head to the CPAN forum for this module: <http://www.cpanforum.com/dist/Algorithm-Evolutionary>

BUGS?

Have you found any bugs? Use the CPAN tracker to inform about them (<http://rt.cpan.org/Public/Dist/Display.html?Name=Algorithm-Evolutionary>) or email the author (below) or bug-algorithm-evolutionary@rt.cpan.org.

AUTHOR

SEE ALSO

If you are just looking for a plain vanilla genetic algorithm for didactic purposes, check also Algorithm::Evolutionary::Simple, which does the job in a straight fashion and can be used easily for demos or adapting it to external fitness functions.
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

This file is released under the GPL. See the LICENSE file included in this distribution, or go to http://www.fsf.org/licenses/gpl.txt
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perl v5.20.3 ALGORITHM::EVOLUTIONARY (3) 2014-10-31

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