from opytimizer.optimizers.population import AO

# One should declare a hyperparameters object based
# on the desired algorithm that will be used
params = {
    'alpha': 0.1,
    'delta': 0.1,
    'n_cycles': 10,
    'U': 0.00565,
    'w': 0.005
}

# Creates an AO optimizer
o = AO(params=params)

4403e52132f09ef003826c7d6b46ee0447fb44ea
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params = {'alpha': 0.1, 'delta': 0.1, 'n_cycles': 10, 'U': 0.00565, 'w': 0.005}
o = AO(params=params)

from opytimizer.optimizers.population import AO
params = {'alpha': 0.1, 'delta': 0.1, 'n_cycles': 10, 'U': 0.00565, 'w': 0.005}
o = AO(params=params)

from opytimizer.optimizers.population import AO

# One should declare a hyperparameters object based
# on the desired algorithm that will be used
params = {
    'alpha': 0.1,
    'delta': 0.1,
    'n_cycles': 10,
    'U': 0.00565,
    'w': 0.005
}

# Creates an AO optimizer
o = AO(params=params)
