- Base Class
- SEE ALSO
Algorithm::Evolutionary::Op::Eval::MO_Rank - Multiobjective evaluator based on Pareto rank
After evaluating the population, it's ranked according to the Pareto fron they're in
new( $evaluation_function )
Creates an evaluator object
set( $ref_to_params_hash, $ref_to_code_hash, $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( $population )
Evaluates the population, setting its fitness value. Fitness should be univocal, that is, have a single value per string.
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 $