use strict; use warnings; =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 =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 =head1 METHODS =cut package Algorithm::Evolutionary::Op::RouletteWheel; use Carp; our $VERSION = ( '$Revision: 1.3 $ ' =~ /(\d+\.\d+)/ ) ; use Algorithm::Evolutionary::Op::Base; our @ISA = qw(Algorithm::Evolutionary::Op::Base); use Algorithm::Evolutionary::Wheel; # Class-wide constants our $APPLIESTO = 'ARRAY'; our $ARITY = 2; #Needs an array for input, a reference for output =head2 new Creates a new roulette wheel selector =cut sub new { my $class = shift; my $self = {}; $self->{_outputSize} = shift || croak "I need an output population size"; bless $self, $class; 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 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: 2002/06/21 07:00:15 $ $Header: /cvsroot/opeal/opeal/Algorithm/Evolutionary/Op/RouletteWheel.pm,v 1.3 2002/06/21 07:00:15 jmerelo Exp $ $Author: jmerelo $ $Revision: 1.3 $ $Name $ =cut "The truth is in there";