Version 2.1 (2014-05-06)

  o .printShortMatrix is a function to print part of rows/columns of a matrix
  o print.summary.ga accept arguments to be passed to .printShortMatrix. This
    allow to shorten the printed output in case of large dimensions for the 
    matrices containing the suggestions and the final solutions.
  o plot.ga now shadowed the area between the max and the median of fitness values 
    at each iteration. Changed to pch from 17 to 1 for means.
  o Function gaSummary() is embedded in the code, so it cannot be defined by the user.
  o Added function ga_pmutation for computing variable mutation probability. 
  o Modified main function ga() to allow for pmutation to be a function. This enables
    the use of variable mutation rate.
  o Export plot.ga class in NAMESPACE and used as S4 method.
  o Computing summaries at each step is done by function gaSummary(), but it
    may be defined by the user.
  o Export summary.ga class in NAMESPACE and used as S4 method.
  o Default for suggestions argument in ga() is set to NULL.
  o Fixed a bug in gabin_uCrossover.
  o Added description of slots in the help page for ga-class.
  o Bug fix on setting maxfitness.
  o Bug fix on passing seed argument when "snow" parallel is used.
  o Add explicitly stop clusters if parallel is used.
  o Parallel computing improving set up of clusters.

Version 2.0 (2013-08-19)

   o Option for parallel computing.

Version 1.2 (2013-04-24, not on CRAN)

   o Added argument keepBest to include the best solution at each iteration.
   o Bug fix when using suggestions argument.

Version 1.1 (2013-04-08)

   o Update citation and references to JSS paper.

Version 1.0 (2012-06-21)

   o Submitted to CRAN.
