NAME
Algorithm::Evolutionary::Op::EDA_step - Single step for a Estimation of Distribution Algorithm
SYNOPSIS
use Algorithm::Evolutionary qw( Individual::BitString
Op::Mutation Op::Crossover
Op::RouletteWheel
Fitness::ONEMAX Op::EDA_step
Op::Replace_Worst);
use Algorithm::Evolutionary::Utils qw(average);
my $onemax = new Algorithm::Evolutionary::Fitness::ONEMAX;
my @pop;
my $number_of_bits = 20;
my $population_size = 20;
my $replacement_rate = 0.5;
for ( 1..$population_size ) {
my $indi = new Algorithm::Evolutionary::Individual::BitString $number_of_bits ; #Creates random individual
$indi->evaluate( $onemax );
push( @pop, $indi );
}
my $selector = new Algorithm::Evolutionary::Op::RouletteWheel $population_size; #One of the possible selectors
my $generation =
new Algorithm::Evolutionary::Op::EDA_step( $onemax, $selector, $replacement_rate );
my @sortPop = sort { $b->Fitness() <=> $a->Fitness() } @pop;
my $bestIndi = $sortPop[0];
my $previous_average = average( \@sortPop );
$generation->apply( \@sortPop );Base Class
Algorithm::Evolutionary::Op::Base
DESCRIPTION
Estimation of Distribution Algorithms shun operators and instead try to model the distribution of "good" solutions in the population. This version corresponds to the most basic one.
METHODS
new( $evaluation_function, $replacement_rate )
Creates an algorithm, with no defaults except for the default replacement operator (defaults to Algorithm::Evolutionary::Op::ReplaceWorst)
set( $ref_to_params_hash, $ref_to_code_hash, $ref_to_operators_hash )
Sets the instance variables. Takes a ref-to-hash as input. Not intended to be used from outside the class
reset( $population )
Start all over again by resetting the population
apply( $population )
Applies the algorithm to the population, which should have been evaluated first; 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
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: 2009/09/30 16:01:28 $
$Header: /cvsroot/opeal/Algorithm-Evolutionary/lib/Algorithm/Evolutionary/Op/EDA_step.pm,v 1.5 2009/09/30 16:01:28 jmerelo Exp $
$Author: jmerelo $
$Revision: 1.5 $