++ed by:
EGOR

1 PAUSE user(s)
1 non-PAUSE user(s).

J. J. Merelo-Guervós
and 1 contributors

NAME

  ez_moga.pl - Easy implementation of a very primitive multiobjective optimization algorithm

SYNOPSIS

  prompt% ./ez_moga.pl <population> <number of generations>

or

  prompt% perl p_peaks.pl <bits> <peaks> <population> <number of generations>

  Shows the values of the two floating-point components of the
  chromosome and finally the best value and fitness reached, which
  should be as close to 1 as possible.
  

DESCRIPTION

A simple example of how to run an Evolutionary algorithm based on Algorithm::Evolutionary. Tries to find the max of the bidimensional Tide , and outputs the x and y coordinates, along with fitness. Best fitness is close to 1. Around 50 generations should be enough, but default is population and number of generations equal to 100.

AUTHOR

Contributed by Pedro Castillo Valdivieso, modified by J. J. Merelo

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: 2009/11/17 19:19:41 $ 
  $Header: /media/Backup/Repos/opeal/opeal/Algorithm-Evolutionary/examples/ez_moga.pl,v 3.1 2009/11/17 19:19:41 jmerelo Exp $ 
  $Author: jmerelo $ 
  $Revision: 3.1 $
  $Name $