/ 
Algorithm-Evolutionary-0.76_1
River stage one • 3 direct dependents • 4 total dependents
/ Algorithm::Evolutionary::Op::FullAlgorithm

NAME

Algorithm::Evolutionary::Op::FullAlgorithm - Skeleton class for a fully-featured evolutionary algorithm

SYNOPSIS

use Algorithm::Evolutionary qw( Op::Base Op::Bitflip Op::Crossover
                                Op::RouletteWheel Op::GeneralGeneration
                                Op::GenerationalTerm Op::FullAlgorithm );

# Using the base class as factory
my $easyEA = Algorithm::Evolutionary::Op::Base->fromXML( $ref->{$xml} );
$easyEA->apply(\@pop ); 

#Or using the constructor
my $m = new Algorithm::Evolutionary::Op::Bitflip; #Changes a single bit
my $c = new Algorithm::Evolutionary::Op::Crossover; #Classical 2-point crossover
my $replacementRate = 0.3; #Replacement rate
my $popSize = 20;
my $selector = new Algorithm::Evolutionary::Op::RouletteWheel $popSize; #One of the possible selectors
my $onemax = sub { 
  my $indi = shift;
  my $total = 0;
  my $len = $indi->length();
  my $i = 0;
  while ($i < $len ) {
    $total += substr($indi->{'_str'}, $i, 1);
    $i++;
  }
  return $total;
};
my $generation = 
  new Algorithm::Evolutionary::Op::GeneralGeneration( $onemax, $selector, [$m, $c], $replacementRate );
my $g100 = new Algorithm::Evolutionary::Op::GenerationalTerm 10;
my $f = new Algorithm::Evolutionary::Op::FullAlgorithm $generation, $g100;
print $f->asXML();

$f->apply( $pop ); # Pop should be defined else where

Base Class

Algorithm::Evolutionary::Op::Base

DESCRIPTION

Class for a configurable evolutionary algoritm. It takes a single-generarion object, and mixes it with a termination condition to create a full algorithm. Includes a sensible default (100-generation generational algorithm) if it is issued only an object of class Algorithm::Evolutionary::Op::GeneralGeneration.

new( $single_generation[, $termination_test] [, $verboseness] )

Takes an already created algorithm and a terminator, and creates an object

set( $hashref, $codehash, $opshash )

Sets the instance variables. Takes hashes to the different options of the algorithm: parameters, fitness functions and operators

apply( $reference_to_population_array )

Applies the algorithm to the population; checks that it receives a ref-to-array as input, croaks if it does not. Returns a sorted, culled, evaluated population for next generation.

SEE ALSO

More or less in the same ballpark, alternatives to this one

Classes you can use within FullAlgorithm:

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

CVS Info: $Date: 2009/07/24 08:46:59 $ 
$Header: /cvsroot/opeal/Algorithm-Evolutionary/lib/Algorithm/Evolutionary/Op/FullAlgorithm.pm,v 3.0 2009/07/24 08:46:59 jmerelo Exp $ 
$Author: jmerelo $