NAME
Algorithm::MasterMind::CGA_Partitions - Solver using a Canonical GA
SYNOPSIS
use Algorithm::MasterMind::CGA_Partitions;
my $secret_code = 'EAFC';
my $population_size = 200;
my @alphabet = qw( A B C D E F );
my $solver = new Algorithm::MasterMind::CGA_Partitions { alphabet => \@alphabet,
length => length( $secret_code ),
pop_size => $population_size};
#The rest, same as the other solversDESCRIPTION
Uses Algorithm::Evolutionary instance of canonical genetic algorithm to solve MM; as there are two different fitness functions you can use; probably fitness_orig works better.
INTERFACE
initialize
Performs bookkeeping, and assigns flags depending on the initialization values
new ( $options )
This function, and all the rest, are directly inherited from base
issue_next()
Issues the next combination
feedback()
Obtain the result to the last combination played
guesses()
Total number of guesses
evaluated()
Total number of combinations checked to issue result
number_of_rules ()
Returns the number of rules in the algorithm
rules()
Returns the rules (combinations, blacks, whites played so far) y a reference to array
matches( $string )
Returns a hash with the number of matches, and whether it matches every rule with the number of blacks and whites it obtains with each of them
fitness( $individual )
Computes fitness summing the number of correct black and whites plus the number of rules the combination meets times the length
fitness_orig( $individual )
Fitness proposed in the Applied and Soft Computing paper, difference between the number of blacks/whites obtained by rules against the secret code and by the combination against the combination in the rule.
SEE ALSO
Other solvers: Algorithm::MasterMind::Sequential and Algorithm::MasterMind::Random. Don't work as well, really.
AUTHOR
JJ Merelo <jj@merelo.net>
LICENCE AND COPYRIGHT
Copyright (c) 2009, JJ Merelo <jj@merelo.net>. All rights reserved.
This module is free software; you can redistribute it and/or modify it under the same terms as Perl itself. See perlartistic.
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