NAME
Algorithm::Evolutionary::Op::GaussianMutation - Changes numeric chromosome components following the gaussian distribution.
SYNOPSIS
my $op = new Algorithm::Evolutionary::Op::GaussianMutation( 0, 0.05) # With average 0, and 0.05 standard deviationBase Class
Algorithm::Evolutionary::Op::Base
DESCRIPTION
Mutation operator for a GA: applies gaussian mutation to a number
new( [$average = 0] [, $standard deviation = 1] [, $rate = 1 ]
Creates a new mutation operator with an application rate. Rate defaults to 1.
create
Creates a new mutation operator with an application rate. Rate defaults to 0.1.
Called create to distinguish from the classwide ctor, new. It just makes simpler to create a Mutation Operator
apply( $chromosome )
Applies mutation operator to a "Chromosome", a vector of stuff, really. Can be applied only to victims with the _array instance variable; but it checks before application (roughly) that both operands are of type Algorithm::Evolutionary::Individual::Vector.
THANKS
This file has been improved with input from Christoph Meißner.
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