###### README.txt ########

In the directory:

 - GeneticAlgorithm.R : R file to lounch the algorithm, in the .R file popsize and the number of Runs that the user wants to perform has to be set.
 - GAscript.pl : the core of the GA. Here the GA parameters has to be set. Also the number of cores that the algorithm can use has to be specified in these file. The algorithm could be run even using the .pl file directly from the command line, in this scenario, a random population will be generated.
- .mod file : the base model that will be estimated by NONMEM
- .scm file: the configuration file for the automated covariate model exercise
- data file: the dataset

CASE 1:
If the algorithm will be execute from Rstudio terminal through GeneticAlgorithm.R, in the working directory, several directory will be generated, one for each run the user wants to perform

CASE 2:
If the algorithm will be execute from terminal, all the file that will be generated will be placed in the working directory