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Added function decorators

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SimpleArt
2020-11-19 20:47:10 -05:00
parent 2c46e32782
commit d90618a614
1 changed files with 11 additions and 20 deletions
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31
src/survivor_selection/survivor_selection_methods.py
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@ -3,41 +3,32 @@ import random
class Survivor_Selection: class Survivor_Selection:
"""Survivor selection determines which individuals should be brought to the next generation""" """Survivor selection determines which individuals should be brought to the next generation"""
def __append_to_next_population(survivor_method):
return lambda ga: ga.population.append_children(survivor_method(ga))
@__append_to_next_population
def fill_in_best(ga): def fill_in_best(ga):
"""Fills in the next population with the best chromosomes from the last population""" """Fills in the next population with the best chromosomes from the last population"""
needed_amount = len(ga.population) - ga.population.total_children needed_amount = len(ga.population) - ga.population.total_children
return ga.population[:needed_amount]
ga.population.append_children(
ga.population[:needed_amount]
)
@__append_to_next_population
def fill_in_random(ga): def fill_in_random(ga):
"""Fills in the next population with random chromosomes from the last population""" """Fills in the next population with random chromosomes from the last population"""
needed_amount = len(ga.population) - ga.population.total_children needed_amount = len(ga.population) - ga.population.total_children
return [random.choice(ga.population) for n in range(needed_amount)]
ga.population.append_children([ # add in chromosomes
random.choice( # randomly
ga.population # from the population
) #
for n in range(needed_amount)]) # until the next population is full
@__append_to_next_population
def fill_in_parents_then_random(ga): def fill_in_parents_then_random(ga):
"""Fills in the next population with all parents followed by random chromosomes from the last population""" """Fills in the next population with all parents followed by random chromosomes from the last population"""
needed_amount = len(ga.population) - ga.population.total_children needed_amount = len(ga.population) - ga.population.total_children
parent_amount = max(len(ga.population.total_parents), needed_amount) parent_amount = min(ga.population.total_parents, needed_amount)
random_amount = needed_amount - parent_amount random_amount = needed_amount - parent_amount
ga.population.append_children( # add in chromosomes return ga.population.get_mating_pool()[:parent_amount] + [random.choice(ga.population) for n in range(random_amount)]
ga.population.get_mating_pool()[:parent_amount] # from the mating pool
) #
ga.population.append_children([ # add in chromosomes
random.choice( # randomly
ga.population # from the population
) #
for n in range(random_amount)]) # until the next population is full