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use strict; #-*-cperl-*- |
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use warnings; |
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use lib qw( ../../../../lib ); |
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=head1 NAME |
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Algorithm::Evolutionary::Op::RouletteWheel - Fitness-proportional selection, using a roulette wheel. |
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=head1 SYNOPSIS |
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use Algorithm::Evolutionary::Op::RouletteWheel; |
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my $popSize = 100; |
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my $selector = new Algorithm::Evolutionary::Op::RouletteWheel $popSize; |
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=head1 Base Class |
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=head1 DESCRIPTION |
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Roulette wheel selection tries to select as many copies of the |
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individual as it corresponds to its fitness. It is used in the |
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canonical GA. Some information on this method of selection can be |
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found in |
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=head1 METHODS |
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=cut |
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package Algorithm::Evolutionary::Op::RouletteWheel; |
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use Carp; |
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our $VERSION = '3.1'; |
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use base 'Algorithm::Evolutionary::Op::Selector'; |
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use Algorithm::Evolutionary::Wheel; |
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# Class-wide constants |
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#our $APPLIESTO = 'ARRAY'; |
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#our $ARITY = 2; #Needs an array for input, a reference for output |
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=head2 new( $output_population_size ) |
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Creates a new roulette wheel selector |
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=cut |
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sub new { |
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my $class = shift; |
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my $self = Algorithm::Evolutionary::Op::Selector::new($class,shift ); |
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return $self; |
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} |
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=head2 apply |
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Applies the tournament selection to a population, returning |
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another of the said size |
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=cut |
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sub apply (@) { |
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my $self = shift; |
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my @pop = @_; |
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croak "Small population size" if ! @_; |
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my @output; |
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#Create the value array |
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my $sum = 0; |
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my @rates; |
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for ( @pop ) { |
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$sum .= $_->Fitness() if defined $_->Fitness(); |
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push @rates, $_->Fitness(); |
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} |
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my $popWheel=new Algorithm::Evolutionary::Wheel @rates; |
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#Select |
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for ( my $i = 0; $i < $self->{_outputSize}; $i++ ) { |
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#Randomly select a few guys |
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push @output, $pop[$popWheel->spin()]; |
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} |
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return @output; |
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} |
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=head1 See Also |
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L is another option for |
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selecting a pool of individuals |
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=head1 Copyright |
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This file is released under the GPL. See the LICENSE file included in this distribution, |
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or go to http://www.fsf.org/licenses/gpl.txt |
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=cut |
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"The truth is in there"; |