def print_best(self, gav, iter_num):
print("Iteration number " + str(iter_num))
with open("output.txt", 'a') as file:
file.write("Iteration number: " + str(iter_num) + "\n")
file.write(" Best fitness: " + str(gav[0].fitness) + "\n")
overall_value = 0
overall_weight = 0
for i in range(self.items):
if gav[0].knapsack[i] == 1:
overall_value = overall_value + self.prices[i]
overall_weight = overall_weight + self.weights[i]
print("Item " + str(i) + " with value " +
str(self.prices[i]) + " and weight " +
str(self.weights[i]))
file.write(" Item " + str(i) + " with value " +
str(self.prices[i]) + " and weight " +
str(self.weights[i]) + "\n")
print("Overall value is " + str(overall_value) + "/" +
str(sum(self.prices)))
print("Overall weight is " + str(overall_weight) + "/" +
str(self.capacity))
print()
file.write(" Overall value is " + str(overall_value) + "\n")
file.write(" Overall weight is " + str(overall_weight) + "\n")
file.write(
" Fitness average: " +
str(round(utils.average(gav, self.data.ga_popsize), 3)) + "\n")
file.write(
" Fitness deviation: " +
str(round(utils.deviation(gav, self.data.ga_popsize), 3)) +
"\n")
def print_best(self, gav, iter_num):
print("Best: " + gav[0].str + " (" + str(gav[0].fitness) + ")")
with open("output.txt", 'a') as file:
file.write("Best: " + gav[0].str + " (" + str(gav[0].fitness) + ")\n")
file.write(" Iteration number: " + str(iter_num) + "\n")
file.write(" Fitness average: " + str(round(utils.average(gav, self.data.ga_popsize), 3)) + "\n")
file.write(" Fitness deviation: " + str(round(utils.deviation(gav, self.data.ga_popsize), 3)) + "\n")
def deviation_local_optima(self, population):
window = self.data.ga_popsize / self.data.local_optima_groups_num
deviation_list = []
for iteration in range(self.data.local_optima_groups_num):
start = int(iteration * window)
end = int((iteration + 1) * window)
deviation_list.append(
round(deviation(population[start:end], int(window)), 3))
self.local_optima_signals.append(deviation_list)