# -*- coding: utf-8 -*-
"""
Created on Tue Nov 27 19:35:39 2018
@author: davidcamara
"""
import numpy as np
from selection.tournament import Tournament
from heuristic_calculation.heuristic.keenEvaluation import keenEvaluation
from population.population import Population
pop = Population(4, 4)
pop.populate()
evalu = keenEvaluation()
selection = Tournament(0.1)
attacks, result = evalu.heuristic(pop)
print("attacks:", attacks)
print(pop.population)
print("")
print(selection.execute(pop, attacks).population)
# -*- coding: utf-8 -*-
"""
Created on Tue Nov 27 19:35:39 2018
@author: davidcamara
"""
import numpy as np
from selection.tournament import Tournament
from KeenProblem.evaluation.keenEvaluation import KeenEvaluation
from population.population import Population
from recomendation.crossover.crossover import Crossover
popClass = Population(4, 4)
popClass.populate()
evalu = KeenEvaluation()
cross = Crossover()
crossoverPopulation = np.zeros((popClass.numChromosomes, popClass.numGenes))
for ch in range(0, popClass.numChromosomes - 1, 2):
parent0 = popClass.population[ch]
parent1 = popClass.population[ch + 1]
print("parent", parent0, parent1)
# create childs
childs = [0, 0]
for child in range(len(childs)):
randomGens = np.random.randint(0, 2, popClass.numGenes)