Beispiel #1
0
def initialize_state():
    sumoProcessCmd = run_sumo(SUMO)
    traci.init(PORT)
    select_valid_edges()
    genetic.initialize()
    state.initialized = True
    traci.close()
    sumoProcessCmd.wait()
Beispiel #2
0
def initialize_state():
    sumoProcessCmd = run_sumo(SUMO)
    traci.init(PORT)
    select_valid_edges()
    genetic.initialize()
    state.initialized = True
    traci.close()
    sumoProcessCmd.wait()
#! /usr/bin/env python


def fitness_function(bin_string):
    from expression import eval_bin_string
    val = eval_bin_string(bin_string)
    if val == required_int:
        ret = float("inf")
    else:
        ret = 1 / abs(float(val - required_int))
    return ret

if __name__ == '__main__':
    import genetic
    from expression import eval_bin_string, conv_to_expression
    global required_int
    required_int = int(raw_input('Input integer: '))
    genetic.initialize(50, 4, 100, fitness_function, 0.7, 0.001)
    while True:
        fittest = genetic.get_fittest(5)
        print "Most fittest:",
        for v in fittest:
            print eval_bin_string(v),
        print
        if eval_bin_string(fittest[0]) == required_int:
            break
        genetic.next_generation()
    print "Found expression: %s" % conv_to_expression(genetic.get_fittest(1)[0])
Beispiel #4
0
#! /usr/bin/env python


def fitness_function(bin_string):
    from expression import eval_bin_string
    val = eval_bin_string(bin_string)
    if val == required_int:
        ret = float("inf")
    else:
        ret = 1 / abs(float(val - required_int))
    return ret


if __name__ == '__main__':
    import genetic
    from expression import eval_bin_string, conv_to_expression
    global required_int
    required_int = int(raw_input('Input integer: '))
    genetic.initialize(50, 4, 100, fitness_function, 0.7, 0.001)
    while True:
        fittest = genetic.get_fittest(5)
        print "Most fittest:",
        for v in fittest:
            print eval_bin_string(v),
        print
        if eval_bin_string(fittest[0]) == required_int:
            break
        genetic.next_generation()
    print "Found expression: %s" % conv_to_expression(
        genetic.get_fittest(1)[0])
def test_initialize():
    """Test population initalization"""
    population = genetic.initialize()
    assert(isinstance(population, list))
    assert(len(population) == genetic.individuals)
import genetic
import fitness
import mock
import random
import pytest
"""Pytest TDD Test definition file"""
__author__ = "Ernesto Serrano"
__license__ = "GPLv3"
__email__ = "*****@*****.**"

population = genetic.initialize()


def test_individual():
    """Test individual generation"""
    config = genetic.individual()
    assert (isinstance(config, list))
    assert (len(config) == genetic.genes)


def test_initialize():
    """Test population initalization"""
    assert (isinstance(population, list))
    assert (len(population) == genetic.individuals)


@mock.patch('fitness.calculate_fitness', return_value=random.randint(0, 999))
def test_selection_and_reproduction(function):
    """Test selection and reproduction"""
    local_population = [(i[0], i) for i in population]