Changes in Version 1.1

  o Function 'memoise' from the same package (now required) is applied before 
  each evaluation in order to save processing time. This may largely increase
  the efficiency of the algorithm
  
  o A 'recode' function is applied on every generated solution in order
  to recode a genotype of n genes with k<=n  distinct alleles 1, 2, ..., k 
  in such a way that the distinct alleles of the recoded genotype appear 
  in the natural order 1, 2, ..., k.  This avoids to consider as distinct two
  solutions that are equivalent but make use of a different coding



Changes in Version 1.0-4

  o Bug fix for old releases

Changes in Version 1.0-3

  o Modified the output to the console or to the file of results: instead of all
  the solutions, only the optimal value for each generation is visualised
  o Now the visualisation of the trend in the optimal and mean values is optional:
  the plot can be avoided by setting showPlot = FALSE when calling optimizeStrata.
  It can be advisable when the number of iterations is very high
  

Changes in Version 1.0-2

  o Bug fix for old releases.


Changes in Version 1.0-1

  o Bug fix for old releases.

  o The object returned by function "optimizeStrata" is no more a dataframe but a list:
	* the first element of the list is the solution vector (solution$indices)
	* the second element of the list is the dataframe containing aggregated strata
	  (solution$aggr_strata)

  o In all the functions that previously produced .csv files and .pdf plots in the working 
  directory, as a default this is no more the current behaviour. To write these files, it
  is now necessary to set the "writeFiles" flag to TRUE


Changes in Version 1.0

  o Bug fix for old releases.

  o Two new functions:
    * "evalSolution", to evaluate the found solution in terms of expected target variables 
	precision and bias obtainable by samples drawn from the otpimized frame;
    * "tuneParameters", to determine the best combination of values to assign to the parameters 
	necessary for the execution of the genetic algorithm used for the optimization of the frame 
	stratification.

  o A demonstration on the use of  the "tuneParameters" function is in the vignette "tuneParameters.pdf" 
  contained in the \inst\doc folder.

 