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Fixed names

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This commit is contained in:
danielwilczak101
2020-09-30 23:39:14 -04:00
parent aa0c5320c8
commit 42f49c43ee
2 changed files with 6 additions and 12 deletions
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14
src/EasyGA.py
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@ -1,12 +1,10 @@
import random import random
# Import all the data structure prebuilt modules
# Import all the data prebuilt modules
from initialization import population as create_population from initialization import population as create_population
from initialization import chromosome as create_chromosome from initialization import chromosome as create_chromosome
from initialization import gene as create_gene from initialization import gene as create_gene
#
from fitness_function import fitness_examples
# Import example classes # Import example classes
from fitness_function import fitness_examples
from initialization import initialization_examples from initialization import initialization_examples
from termination_point import termination_examples from termination_point import termination_examples
from selection import selection_examples from selection import selection_examples
@ -24,13 +22,12 @@ class GA:
self.population = None self.population = None
# Termination varibles # Termination varibles
self.current_generation = 0 self.current_generation = 0
self.max_generations = 3
self.current_fitness = 0 self.current_fitness = 0
self.goal_fitness = 3 self.generation_goal = 3
self.fitness_goal = 3
# Mutation variables # Mutation variables
self.mutation_rate = 0.03 self.mutation_rate = 0.03
# Defualt EastGA implimentation structure # Defualt EastGA implimentation structure
self.initialization_impl = initialization_examples.random_initialization self.initialization_impl = initialization_examples.random_initialization
self.fitness_funciton_impl = fitness_examples.is_it_5 self.fitness_funciton_impl = fitness_examples.is_it_5
@ -39,9 +36,6 @@ class GA:
#self.crossover_impl = FastSinglePointCrossover() #self.crossover_impl = FastSinglePointCrossover()
self.termination_impl = termination_examples.generation_based self.termination_impl = termination_examples.generation_based
# If we want the fitnesses to be updated by the computer
self.update_fitness = True
def initialize_population(self): def initialize_population(self):
"""Initialize the population using the initialization """Initialize the population using the initialization
implimentation that is currently set""" implimentation that is currently set"""

4
src/termination_point/examples.py
View File

@ -4,13 +4,13 @@ class termination_examples:
def fitness_based(ga): def fitness_based(ga):
"""Fitness based approach to terminate when the goal fitness has been reached""" """Fitness based approach to terminate when the goal fitness has been reached"""
status = True status = True
if(ga.current_fitness > ga.goal_fitness): if(ga.current_fitness > ga.fitness_goal):
status = False status = False
return status return status
def generation_based(ga): def generation_based(ga):
"""Generation based approach to terminate when the goal generation has been reached""" """Generation based approach to terminate when the goal generation has been reached"""
status = True status = True
if(ga.current_generation > ga.max_generations): if(ga.current_generation > ga.generation_goal):
status = False status = False
return status return status