def typeParameters():
d = DifferentialEvolution.typeParameters()
d['F_l'] = lambda x: isinstance(x, (float, int)) and x > 0
d['F_u'] = lambda x: isinstance(x, (float, int)) and x > 0
d['Tao1'] = lambda x: isinstance(x, (float, int)) and 0 <= x <= 1
d['Tao2'] = lambda x: isinstance(x, (float, int)) and 0 <= x <= 1
return d
def typeParameters():
r"""Get dictionary with functions for checking values of parameters.
Returns:
Dict[str, Callable]:
* NoLsTests (Callable[[int], bool]): TODO
* NoLs (Callable[[int], bool]): TODO
* NoEnabled (Callable[[int], bool]): TODO
See Also:
:func:`NiaPy.algorithms.basic.de.DifferentialEvolution.typeParameters`
"""
d = DifferentialEvolution.typeParameters()
d.update({
'NoLsTests': lambda x: isinstance(x, int) and x >= 0,
'NoLs': lambda x: isinstance(x, int) and x >= 0,
'NoEnabled': lambda x: isinstance(x, int) and x > 0
})
return d
def typeParameters():
r"""Get dictionary with functions for checking values of parameters.
Returns:
Dict[str, Callable]:
* F_l (Callable[[Union[float, int]], bool])
* F_u (Callable[[Union[float, int]], bool])
* Tao1 (Callable[[Union[float, int]], bool])
* Tao2 (Callable[[Union[float, int]], bool])
See Also:
* :func:`NiaPy.algorithms.basic.DifferentialEvolution.typeParameters`
"""
d = DifferentialEvolution.typeParameters()
d['F_l'] = lambda x: isinstance(x, (float, int)) and x > 0
d['F_u'] = lambda x: isinstance(x, (float, int)) and x > 0
d['Tao1'] = lambda x: isinstance(x, (float, int)) and 0 <= x <= 1
d['Tao2'] = lambda x: isinstance(x, (float, int)) and 0 <= x <= 1
return d
def typeParameters():
return DifferentialEvolution.typeParameters()