[3, 3, 3, 1, 3, 1, 1, 0, 1],
[3, 1, 3, 3, 3, 1, 1, 0, 0],
[3, 3, 1, 1, 1, 1, 0, 1, 1],
[1, 3, 0, 1, 3, 3, 3, 3, 3],
[0, 3, 1, 1, 3, 1, 0, 1, 3],
[1, 3, 3, 3, 3, 1, 1, 1, 4])
maze = Maze(ruta)
ga = GeneticAlgorithm(200,0.05,0.9,2,10)
population = ga.init_population(50)
ga.eval_population(population,maze)
generation = 1
print("Iniciando RobotController....")
while ga.isTerminationConditionMet(generation,maxGenerations) == False:
fittest = population.get_fittest(0)
chromosome = fittest.chromosome
robot = Robot(chromosome,maze,100)
robot.run_final()
print("Genearion ",generation)
population = ga.crossover_population(population)
population = ga.mutate_population(population)
ga.eval_population(population,maze)
generation = generation + 1
print("Best Solution")
