generate_monte_carlo_data(functions,
parameters,
file_info,
time_check=False)
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Sample solution space randomly, evenly distributed and without dependencies.
parameter:
- 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
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