GA_Program_Details.py

This class will write the details of the genetic algorithm run.

class Organisms.GA.GA_Program_Details.GA_Program_Details(GA_Program, is_new_ga=True)

This class is designed to keep track of the process of the genetic algorithm run.

Parameters:

GA_Program (Organisms.GA.GA_Program:) – This is the main genetic algorithm program this class will be writing about
is_new_ga (bool.) – This determines if to write all the details about this genetic algorithm to a file. You only need to do this if the genetic algorithm is just beginning from generation 0. Default: True.

close()

This will close the GA_Run_Details text file that is being recorded to.

This is designed to be a private definition

create(is_new_ga)

This definition will create a file containing the details of this genetic algorithm on the disk.

Parameters:: is_new_ga (bool.) – This determines if to write all the details about this genetic algorithm to a file. You only need to do this if the genetic algorithm is just beginning from generation 0.

end_clock(generation)

Get the end time taken for a generation to run.

returns time_taken: The time taken for the generation to run in seconds. rtype time_taken: float

ending_details(): This def will write the finishing remarks of the genetic algorithm to GA_Run_Details

epoch_end_clock(): Get the Starting time for this genetic algorithm, which will be used to time each generation.

epoch_start_clock(): Get the Starting time for this genetic algorithm, which will be used to time each generation.

open(read_type)

This will open the GA_Run_Details text file that is being recorded to.

This is designed to be a private definition

Parameters:: read_type (char) – This is the way to open the file, either read (r), write (w), or append (a).

start_clock(): Get the Starting time for this genetic algorithm, which will be used to time each generation.