Exemplo n.º 1
0
def run_test():
    print('===== Test Start =====')
    # Define Search Space
    space = sp.Space()
    x1 = sp.Real("x1", -5, 10, default_value=0)
    x2 = sp.Real("x2", 0, 15, default_value=0)
    space.add_variables([x1, x2])

    # Run
    try:
        max_runs = 10
        opt = Optimizer(
            branin,
            space,
            max_runs=max_runs,
            time_limit_per_trial=30,
            task_id='test_install',
        )
        history = opt.run()
    except Exception:
        print(traceback.format_exc())
        print('===== Exception in run_test()! Please check. =====')
    else:
        cnt = history.trial_states.count(SUCCESS)
        if cnt == max_runs:
            print('===== Congratulations! All trials succeeded. =====')
        else:
            print('===== %d/%d trials failed! Please check. =====' %
                  (max_runs - cnt, max_runs))
Exemplo n.º 2
0
    t2 = np.cos(x) * np.exp((1 - np.sin(y))**2)
    t3 = (x - y)**2

    result = dict()
    result['objs'] = [
        t1 + t2 + t3,
    ]
    result['constraints'] = [
        np.sum((X + 5)**2) - 25,
    ]
    return result


if __name__ == "__main__":
    params = {'float': {'x0': (-10, 0, -5), 'x1': (-6.5, 0, -3.25)}}
    space = sp.Space()
    space.add_variables(
        [sp.Real(name, *para) for name, para in params['float'].items()])

    opt = Optimizer(
        mishra,
        space,
        num_constraints=1,
        num_objs=1,
        surrogate_type='gp',
        acq_optimizer_type='random_scipy',
        max_runs=50,
        time_limit_per_trial=10,
        task_id='soc',
    )
    history = opt.run()