Algorithm-Evolutionary

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lib/Algorithm/Evolutionary/Op/GaussianMutation.pm  view on Meta::CPAN

use strict;
use warnings;

use lib qw(../../..);

=encoding utf8

=head1 NAME

Algorithm::Evolutionary::Op::GaussianMutation - Changes numeric chromosome components following the gaussian distribution.

=cut

=head1 SYNOPSIS

  my $op = new Algorithm::Evolutionary::Op::GaussianMutation( 0, 0.05) # With average 0, and 0.05 standard deviation

=cut

=head1 Base Class

L<Algorithm::Evolutionary::Op::Base|Algorithm::Evolutionary::Op::Base>

=cut

=head1 DESCRIPTION

Mutation operator for a GA: applies gaussian mutation to a number

=cut

package Algorithm::Evolutionary::Op::GaussianMutation;

our $VERSION =   '3.4';

use Carp;
use Math::Random;
use Clone qw(clone);

use base 'Algorithm::Evolutionary::Op::Base';

#Class-wide constants
our $APPLIESTO =  'Algorithm::Evolutionary::Individual::Vector';
our $ARITY = 1;

=head2 new( [$average = 0] [, $standard deviation = 1] [, $rate = 1 ]

Creates a new mutation operator with an application rate. Rate defaults to 1.

=cut

sub new {
  my $class = shift;
  my $avg = shift || 0; 
  my $stddev = shift || 1;
  my $rate = shift || 1;

  my $hash = {avg => $avg,
	      stddev => $stddev };
  my $self = Algorithm::Evolutionary::Op::Base::new( 'Algorithm::Evolutionary::Op::GaussianMutation', $rate, $hash );
  return $self;
}

=head2 create

Creates a new mutation operator with an application rate. Rate defaults to 0.1.



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