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)