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Manual Reference Pages  -  ALGORITHM::EVOLUTIONARY::OP::EVAL::MO_RANK (3)

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NAME

Algorithm::Evolutionary::Op::Eval::MO_Rank - Multiobjective evaluator
based on Pareto rank

CONTENTS

SYNOPSIS

Base Class

Algorithm::Evolutionary::Op::Base

DESCRIPTION

After evaluating the population, it’s ranked according to the Pareto fron they’re in

METHODS

new( CW$evaluation_function )

Creates an evaluator object

set( CW$ref_to_params_hash, CW$ref_to_code_hash, CW$ref_to_operators_hash )

Sets the instance variables. Takes a ref-to-hash as input. Not intended to be used from outside the class. This should go to base, probably.

apply( CW$population )

Evaluates the population, setting its fitness value. Fitness should be univocal, that is, have a single value per string.

SEE ALSO

o Algorithm::Evolutionary::Fitness::Base

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: 2009/11/23 12:31:16 $
  $Header: /media/Backup/Repos/opeal/opeal/Algorithm-Evolutionary/lib/Algorithm/Evolutionary/Op/Eval/MO_Rank.pm,v 3.2 2009/11/23 12:31:16 jmerelo Exp $
  $Author: jmerelo $
  $Revision: 3.2 $



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perl v5.20.3 ALGORITHM::EVOLUTIONARY::OP::EVAL::MO_RANK (3) 2014-10-25

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