Esempio n. 1
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def test_de_run():
    def square(x):
        return np.sum(x**2)

    def hook(optimizer, space, function):
        return

    new_function = function.Function(pointer=square)

    hyperparams = {'CR': 0.9, 'F': 0.7}

    new_de = de.DE(hyperparams=hyperparams)

    search_space = search.SearchSpace(n_agents=10,
                                      n_iterations=100,
                                      n_variables=2,
                                      lower_bound=[0, 0],
                                      upper_bound=[10, 10])

    history = new_de.run(search_space, new_function, pre_evaluation=hook)

    assert len(history.agents) > 0
    assert len(history.best_agent) > 0

    best_fitness = history.best_agent[-1][1]
    assert best_fitness <= constants.TEST_EPSILON, 'The algorithm de failed to converge.'
Esempio n. 2
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def test_de_hyperparams_setter():
    new_de = de.DE()

    try:
        new_de.CR = 'a'
    except:
        new_de.CR = 0.5

    try:
        new_de.CR = -1
    except:
        new_de.CR = 0.5

    assert new_de.CR == 0.5

    try:
        new_de.F = 'b'
    except:
        new_de.F = 0.5

    try:
        new_de.F = -1
    except:
        new_de.F = 0.5

    assert new_de.F == 0.5
Esempio n. 3
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def test_de_params_setter():
    new_de = de.DE()

    try:
        new_de.CR = "a"
    except:
        new_de.CR = 0.5

    try:
        new_de.CR = -1
    except:
        new_de.CR = 0.5

    assert new_de.CR == 0.5

    try:
        new_de.F = "b"
    except:
        new_de.F = 0.5

    try:
        new_de.F = -1
    except:
        new_de.F = 0.5

    assert new_de.F == 0.5
Esempio n. 4
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def test_de_hyperparams():
    hyperparams = {'CR': 0.9, 'F': 0.7}

    new_de = de.DE(hyperparams=hyperparams)

    assert new_de.CR == 0.9

    assert new_de.F == 0.7
Esempio n. 5
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def test_de_params():
    params = {'CR': 0.9, 'F': 0.7}

    new_de = de.DE(params=params)

    assert new_de.CR == 0.9

    assert new_de.F == 0.7
Esempio n. 6
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def test_de_params():
    params = {"CR": 0.9, "F": 0.7}

    new_de = de.DE(params=params)

    assert new_de.CR == 0.9

    assert new_de.F == 0.7
Esempio n. 7
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def test_de_update():
    def square(x):
        return np.sum(x**2)

    new_de = de.DE()

    search_space = search.SearchSpace(n_agents=10,
                                      n_variables=2,
                                      lower_bound=[0, 0],
                                      upper_bound=[10, 10])

    new_de.update(search_space, square)
Esempio n. 8
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def test_de_mutate_agent():
    new_de = de.DE()

    search_space = search.SearchSpace(n_agents=4,
                                      n_variables=2,
                                      lower_bound=[0, 0],
                                      upper_bound=[10, 10])

    agent = new_de._mutate_agent(search_space.agents[0],
                                 search_space.agents[1],
                                 search_space.agents[2],
                                 search_space.agents[3])

    assert agent.position[0][0] != 0
Esempio n. 9
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def test_de_build():
    new_de = de.DE()

    assert new_de.built == True