Module: monte carlo

From SolutionSpaceTool

Generating solutions randomly distributed over the solution space without any dependencies between them.

package opt
imported by:

Functions

return generate_monte_carlo_data(functions, parameters, file_info, time_check)

functions : dictionary with functions from datastructure

     essential keys:
      - "randomSolution" : returns a random representation
      - "costEvaluation" : returns a list of the calculated costs for the given
                           representation
                           

parameters : dictionary with algorithm parameters

     essential keys:
      - "samples" : number of generated random representations
      

file_info : dictionary with information about the file names of the data files

     essential keys:
      - "trial_name" : name of trial given in GUI
      - "file_name_list" : additional information included in file name (can be empty string)
      

time_check : boolean

     True: estimates runtime with reduced samples
     False: full calculation with saving data to files

return:

     int : esimtated runtime (time_check == True)
     list : list of created files sorted by given cost criteria (time_check == False)
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