def get_parameters(self):
r"""Get parameters of the algorithm.
Returns:
Dict[str, Any]:
* Parameter name: Represents a parameter name
* Value of parameter: Represents the value of the parameter
"""
d = Algorithm.get_parameters(self)
d.update({'delta': self.delta, 'Neighborhood': self.Neighborhood})
return d
def get_parameters(self):
r"""Get algorithm parameters values.
Returns:
Dict[str, Any]: TODO.
See Also:
* :func:`NiaPy.algorithms.algorithm.Algorithm.getParameters`
"""
d = Algorithm.get_parameters(self)
d.update({'a': self.a, 'Rmin': self.Rmin, 'Rmax': self.Rmax})
return d
def get_parameters(self):
r"""Get parameters values of the algorithm.
Returns:
Dict[str, Any]: TODO
See Also:
* :func:`WeOptPy.algorithms.interfaces.Algorithm.getParameters`
"""
d = Algorithm.get_parameters(self)
d.update({'F': self.F, 'CR': self.CR, 'CrossMutt': self.CrossMutt})
return d
def get_parameters(self):
r"""Get parameters of the algorithm.
Returns:
Dict[str, Any]
"""
d = Algorithm.get_parameters(self)
d.update({
'a': self.A,
'r': self.r,
'Qmin': self.Qmin,
'Qmax': self.Qmax
})
return d
def get_parameters(self):
r"""Get parameters of the algorithm.
Returns:
Dict[str, Any]:
* Parameter name: Represents a parameter name
* Value of parameter: Represents the value of the parameter
"""
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 parameters of the algorithm.
Returns:
Dict[str, Any]:
* Parameter name: Represents a parameter name
* Value of parameter: Represents the value of the parameter
"""
d = Algorithm.get_parameters(self)
d.pop('n', None)
d.update({
'N': self.NP,
'pa': self.pa,
'alpha': self.alpha
})
return d
def get_parameters(self):
r"""Get algorithms parametes values.
Returns:
Dict[str, Any]:
See Also
* :func:`NiaPy.algorithms.Algorithm.getParameters`
"""
d = Algorithm.get_parameters(self)
d.update({
'delta': self.delta,
'deltaT': self.deltaT,
'T': self.T,
'epsilon': self.epsilon
})
return d
def get_parameters(self):
r"""Get parameters values for the algorithm.
Returns:
Dict[str, Any]:
"""
d = Algorithm.get_parameters(self)
d.update({
'M': d.pop('n', self.NP),
'NoLsTests': self.NoLsTests,
'NoLs': self.NoLs,
'NoLsBest': self.NoLsBest,
'BONUS1': self.BONUS1,
'BONUS2': self.BONUS2,
'NoEnabled': self.NoEnabled,
'LSs': self.LSs
})
return d
def get_parameters(self):
r"""Get algorithm parameters.
Returns:
Dict[str, Any]: Arguments values.
See Also:
* :func:`WeOptPy.algorithms.interfaces.Algorithm.getParameters`
"""
d = Algorithm.get_parameters(self)
d.update({
'a': self.A,
'epsilon': self.epsilon,
'alpha': self.alpha,
'r': self.r,
'Qmin': self.Qmin,
'Qmax': self.Qmax
})
return d
def test_algorithm_getParameters_fine(self):
r"""Check if method works fine."""
algo = Algorithm()
params = algo.get_parameters()
self.assertIsNotNone(params)
