Get_Offspring.py

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

Organisms.GA.Get_Offspring.Create_An_Offspring(input_data)

This method is used to obtain an offspring

Parameters:

input_data (tuple of many inputs) – A tuple of all the information needed to make a new offspring

Returns:

The offspring and a string containing any information that would be useful for the user to see about how this cluster was made

Return type:

Organisms.GA.Cluster and str.

Organisms.GA.Get_Offspring.Create_An_Unoptimised_Offspring(cluster_number, chance_of_mutation, cell_length, vacuum_to_add_length, population, creating_offspring_mode, crossover_procedure, mutation_procedure)

This definition provides the methodology for how to create an offspring.

Inputs:

cluster_number (int): the name of the cluster chance_of_mutation (float): the change than a mutation will occur, either as well as or instead of crossover, depending on input for creating_offspring_mode. cell_length (float): The size of the unit cell. vacuum_to_add_length (float)” The amount of vacuum to add to the unit cell” population (Organisms.GA.Population): This is the population that clusters will be taken from for mating and mutation schemes. creating_offspring_mode (str.): This tag indicates how the offspring are created.

  • creating_offspring_mode == ‘Mating_and_Mutation_Together’ - The mating scheme is run first, followed by a mutation scheme with some probability..

  • creating_offspring_mode == ‘Either_Mating_and_Mutation’ - Either the mating ‘or’ the mutation scheme will run, depending on a probability value.

crossover_procedure (Organisms.GA.Crossover): mutation_procedure (Organisms.GA.Mutation):

Returns:

the newly created offspring cluster.

Return type:

Organisms.GA.Cluster

Organisms.GA.Get_Offspring.Will_Mutation_Occur(choice_mate_or_mutate, chance_of_mutation)

This method will determine if the algotithm should perform a mutation.

Parameters:

  • choice_mate_or_mutate (float) – This is a random value between 0 and 1. If this value is less than self.chance_of_mutation, this indicates to perform a mutation

  • chance_of_mutation (float) – This a decimal value between 0 and 1 that determines the chance of a mutation.

Returns:

If True; mutate. If False; do not mutate (mate).

Return type:

bool.