NAME

Algorithm::MasterMind::EvoRank - Evolutionary algorithm with the partition method and ranked fitness, prepared for GECCO 2010

SYNOPSIS

    use Algorithm::MasterMind::Evolutionary_Partitions;

  

DESCRIPTION

The partition method was introduced in a 2010 paper, and then changed by Runarsson and Merelo to incorporate it in the genetic search. It was prepared for a conference paper, this one:

  @INPROCEEDINGS{mm:cig,
   author={Merelo, J.J. and Mora, A.M. and Runarsson, T.P. and Cotta, C.},
   booktitle={Computational Intelligence and Games (CIG), 2010 IEEE Symposium on}, 
   title={Assessing efficiency of different evolutionary strategies playing MasterMind},
   year=2010,
   month={August},
   pages={38--45},
   keywords={MasterMind player;constrained optimization problem;evolutionary algorithm;evolutionary strategy;fitness function;computer games;evolutionary computation;},
   doi={10.1109/ITW.2010.5593373}
  }

This method is the evolutionary equivalent of Algorithm::MasterMind::Partitition::Most, using the number of non-null partitions to score consistent combinations, while using distance-to-consistency to score non-consistent.

INTERFACE

initialize

Initializes the genetic part of the algorithm

issue_next()

Issues the next combination, using this method. Every generation runs an evolutionary algorithm to compute the next string.

compute_fitness()

Processes "raw" fitness to assign fitness once consistency and/or distance to it is known. It's lineally scaled to make the lowest combination have a fitness equal to 1, which is needed just in case the selection method uses roulette wheel (which it does).

AUTHOR

JJ Merelo <jj@merelo.net>

LICENCE AND COPYRIGHT

Copyright (c) 2009, 2010 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.

DISCLAIMER OF WARRANTY

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