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Renamed parent selection subclasses to rank/fitness

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This commit is contained in:
SimpleArt
2020-10-18 21:08:54 -04:00
parent d8e5296ef5
commit dd294db952
2 changed files with 6 additions and 6 deletions
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2
src/attributes.py
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@ -53,7 +53,7 @@ class attributes:
self.make_gene = create_gene self.make_gene = create_gene
# Methods for accomplishing Parent-Selection -> Crossover -> Survivor_Selection -> Mutation # Methods for accomplishing Parent-Selection -> Crossover -> Survivor_Selection -> Mutation
self.parent_selection_impl = Parent_Selection.Tournament.with_replacement self.parent_selection_impl = Parent_Selection.Rank.tournament
self.crossover_individual_impl = Crossover_Methods.Individual.single_point self.crossover_individual_impl = Crossover_Methods.Individual.single_point
self.crossover_population_impl = Crossover_Methods.Population.random_selection self.crossover_population_impl = Crossover_Methods.Population.random_selection
self.survivor_selection_impl = Survivor_Selection.fill_in_best self.survivor_selection_impl = Survivor_Selection.fill_in_best

10
src/parent_selection/parent_selection_methods.py
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@ -2,9 +2,9 @@ import random
class Parent_Selection: class Parent_Selection:
class Tournament: class Rank:
def with_replacement(ga): def tournament(ga):
""" """
Will make tournaments of size tournament_size and choose the winner (best fitness) from the tournament and use it as a parent for the next generation Will make tournaments of size tournament_size and choose the winner (best fitness) from the tournament and use it as a parent for the next generation
The total number of parents selected is determined by parent_ratio, an attribute to the GA object. The total number of parents selected is determined by parent_ratio, an attribute to the GA object.
@ -46,9 +46,9 @@ class Parent_Selection:
break break
class Roulette: class Fitness:
def roulette_selection(ga): def roulette(ga):
"""Roulette selection works based off of how strong the fitness is of the """Roulette selection works based off of how strong the fitness is of the
chromosomes in the population. The stronger the fitness the higher the probability chromosomes in the population. The stronger the fitness the higher the probability
that it will be selected. Using the example of a casino roulette wheel. that it will be selected. Using the example of a casino roulette wheel.
@ -95,7 +95,7 @@ class Parent_Selection:
break break
def stochastic_selection(ga): def stochastic(ga):
"""Stochastic roulette selection works based off of how strong the fitness is of the """Stochastic roulette selection works based off of how strong the fitness is of the
chromosomes in the population. The stronger the fitness the higher the probability chromosomes in the population. The stronger the fitness the higher the probability
that it will be selected. Instead of dividing the fitness by the sum of all fitnesses that it will be selected. Instead of dividing the fitness by the sum of all fitnesses