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Population.next_population and better comments

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SimpleArt
2020-10-15 00:22:58 -04:00
parent 543b295e52
commit 5df19df643
6 changed files with 160 additions and 59 deletions
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19
src/EasyGA.py
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@ -27,7 +27,7 @@ class GA:
self.chromosome_length = 10
self.population_size = 10
self.chromosome_impl = None
self.gene_impl = [random.randint,1,10]
self.gene_impl = None
self.population = None
self.target_fitness_type = 'maximum'
self.update_fitness = True
@ -68,10 +68,9 @@ class GA:
def evolve_generation(self, number_of_generations = 1, consider_termination = True):
"""Evolves the ga the specified number of generations."""
# Evolve the specified number of generations
# and if consider_termination flag is set then
# also check if termination conditions reached
while(number_of_generations > 0 and (not consider_termination or self.termination_impl(self))):
while(number_of_generations > 0 # Evolve the specified number of generations
and (not consider_termination # and if consider_termination flag is set
or self.termination_impl(self))): # then also check if termination conditions reached
# If its the first generation then initialize the population
if self.current_generation == 0:
@ -81,13 +80,13 @@ class GA:
# Otherwise evolve the population
else:
self.population.reset_mating_pool()
self.set_all_fitness()
self.population.sort_by_best_fitness(self)
self.parent_selection_impl(self)
next_population = self.crossover_population_impl(self)
self.survivor_selection_impl(self, next_population)
self.crossover_population_impl(self)
self.survivor_selection_impl(self)
self.mutation_population_impl(self)
self.population.update()
number_of_generations -= 1
self.current_generation += 1
@ -134,4 +133,6 @@ class GA:
etc.
"""
return sorted(chromosome_set, key = lambda chromosome: chromosome.get_fitness(), reverse = True)
return sorted(chromosome_set, # list to be sorted
key = lambda chromosome: chromosome.get_fitness(), # by fitness
reverse = True) # from highest to lowest fitness