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