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Algorithm::EvolutionarUserpContributed)Algorithm::Evolutionary::Op::Easy_MO(3)

NAME
       Algorithm::Evolutionary::Op::Easy_MO - Multiobjecttive evolutionary
       algorithm, single generation, with
			   variable operators

SYNOPSIS
	 #Mutation and crossover. Default selection rate is 0.4
	 my $algo = new	Algorithm::Evolutionary::Op::Easy_MO( $eval );

	 #Define an easy single-generation algorithm with predefined mutation and crossover
	 my $m = new Algorithm::Evolutionary::Op::Bitflip; #Changes a single bit
	 my $c = new Algorithm::Evolutionary::Op::Crossover; #Classical	2-point	crossover
	 my $generation	= new Algorithm::Evolutionary::Op::Easy_MO( $rr, 0.2, [$m, $c] );

Base Class
       Algorithm::Evolutionary::Op::Base

DESCRIPTION
       "Easy" to use, single generation	of an evolutionary algorithm. Takes an
       arrayref	of operators as	input, or defines bitflip-mutation and 2-point
       crossover as default. The "apply" method	applies	a single iteration of
       the algorithm to	the population it takes	as input

METHODS
   new(	$eval_func, [$selection_rate,] [$operators_arrayref] )
       Creates an algorithm that optimizes the handled fitness function	and
       reference to an array of	operators. If this reference is	null, an array
       consisting of bitflip mutation and 2 point crossover is generated.
       Which, of course, might not what	you need in case you don't have	a
       binary chromosome. Take into account that in this case the fitness
       function	should return a	reference to array.

   set(	$hashref, codehash, opshash )
       Sets the	instance variables. Takes a ref-to-hash	(for options),
       codehash	(for fitness) and opshash (for operators)

   apply( $population )
       Applies the algorithm to	the population;	checks that it receives	a ref-
       to-array	as input, croaks if it does not. Returns a sorted, culled,
       evaluated population for	next generation.

SEE ALSO
       Algorithm::Evolutionary::Op::CanonicalGA.
       Algorithm::Evolutionary::Op::FullAlgorithm.
       Algorithm::Evolutionary::Op::Easy for the scalar	version	of this	code.

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: 2011/02/14 06:55:36 $
	 $Header: /media/Backup/Repos/opeal/opeal/Algorithm-Evolutionary/lib/Algorithm/Evolutionary/Op/Easy_MO.pm,v 3.6	2011/02/14 06:55:36 jmerelo Exp	$
	 $Author: jmerelo $
	 $Revision: 3.6	$
	 $Name $

perl v5.32.1			  2014-Algorithm::Evolutionary::Op::Easy_MO(3)

NAME | SYNOPSIS | Base Class | DESCRIPTION | METHODS | SEE ALSO | Copyright

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