def get_parameters(self):
d = Algorithm.get_parameters(self)
d.update({
'delta': self.delta,
'neighborhood_function': self.neighborhood_function
})
return d
def get_parameters(self):
d = Algorithm.get_parameters(self)
d.update({
'alpha': self.alpha,
'gamma': self.gamma,
'rho': self.rho,
'sigma': self.sigma
})
return d
def get_parameters(self):
r"""Get algorithms parameters values.
Returns:
Dict[str, Any]:
See Also
* :func:`niapy.algorithms.Algorithm.get_parameters`
"""
d = Algorithm.get_parameters(self)
return d
def get_parameters(self):
r"""Get parameters values of the algorithm.
Returns:
Dict[str, Any]: Algorithm parameters.
"""
d = Algorithm.get_parameters(self)
d.update({
'lifetime': self.lifetime,
'area_limit': self.area_limit,
'local_seeding_changes': self.local_seeding_changes,
'global_seeding_changes': self.global_seeding_changes,
'transfer_rate': self.transfer_rate
})
return d
def get_parameters(self):
r"""Get parameters values for the algorithm.
Returns:
Dict[str, Any]: Algorithm parameters.
"""
d = Algorithm.get_parameters(self)
d.update({
'partition': self.partition,
'period': self.period,
'keep': self.keep,
'bar': self.bar,
'np1': self.np1,
'np2': self.np2
})
return d
def get_parameters(self):
r"""Get parameters values of the algorithm.
Returns:
Dict[str, Any]: Algorithm parameters.
See Also:
* :func:`niapy.algorithms.Algorithm.get_parameters`
"""
d = Algorithm.get_parameters(self)
d.update({
'differential_weight': self.differential_weight,
'crossover_probability': self.crossover_probability,
'strategy': self.strategy
})
return d
def get_parameters(self):
r"""Get algorithms parameters values.
Returns:
Dict[str, Any]
See Also:
* :func:`niapy.algorithms.Algorithm.get_parameters`
"""
d = Algorithm.get_parameters(self)
d.update({
'fluctuation_coeff': self.fluctuation_coeff,
'population_rate': self.population_rate,
'c': self.c,
'fc': self.fc
})
return d
def get_parameters(self):
r"""Get algorithms parameters values.
Returns:
Dict[str, Any]:
See Also
* :func:`niapy.algorithms.Algorithm.get_parameters`
"""
d = Algorithm.get_parameters(self)
d.update({
'delta': self.delta,
'delta_temperature': self.delta_temperature,
'starting_temperature': self.starting_temperature,
'epsilon': self.epsilon
})
return d
def get_parameters(self):
r"""Get parameters values for the algorithm.
Returns:
Dict[str, Any]: Algorithm parameters.
"""
d = Algorithm.get_parameters(self)
d.update({
'M': d.pop('population_size', self.population_size),
'num_tests': self.num_tests,
'num_searches': self.num_searches,
'num_searches_best': self.num_searches_best,
'bonus1': self.bonus1,
'bonus2': self.bonus2,
'num_enabled': self.num_enabled,
'local_searches': self.local_searches
})
return d
def get_parameters(self):
r"""Get parameter values for the algorithm.
Returns:
Dict[str, Any]: Algorithm parameters.
"""
d = Algorithm.get_parameters(self)
d.update({
'N_max': self.N_max,
'V_f': self.V_f,
'D_max': self.D_max,
'C_t': self.C_t,
'W_n': self.W_n,
'W_f': self.W_f,
'd_s': self.d_s,
'nn': self.nn,
})
return d
def get_parameters(self):
r"""Get parameter values for the algorithm.
Returns:
Dict[str, Any]: Algorithm parameters.
"""
d = Algorithm.get_parameters(self)
d.update({
'n_max': self.n_max,
'foraging_speed': self.foraging_speed,
'diffusion_speed': self.diffusion_speed,
'c_t': self.c_t,
'w_neighbor': self.w_neighbor,
'w_foraging': self.w_foraging,
'd_s': self.d_s,
'max_neighbors': self.max_neighbors,
'crossover_rate': self.cr,
'mutation_rate': self.mr
})
return d
def test_algorithm_getParameters(self):
r"""Check if method works fine."""
algo = Algorithm()
params = algo.get_parameters()
self.assertIsNotNone(params)
