NiaOrg / NiaPy

		"""

		return r'''Ali, Ramzy. (2016). Novel Optimization Algorithm Inspired by Camel Traveling Behavior. Iraq J. Electrical and Electronic Engineering. 12. 167-177.'''

	@staticmethod

	def typeParameters():

		r"""Get dictionary with functions for checking values of parameters.

		Returns:

			Dict[str, Callable]:

				* omega (Callable[[Union[int, float]], bool])

				* mu (Callable[[float], bool])

				* alpha (Callable[[float], bool])

				* S_init (Callable[[Union[float, int]], bool])

				* E_init (Callable[[Union[float, int]], bool])

				* T_min (Callable[[Union[float, int], bool])

				* T_max (Callable[[Union[float, int], bool])

		See Also:

			* :func:`NiaPy.algorithms.Algorithm.typeParameters`

		"""

		d = Algorithm.typeParameters()

		d.update({

			'omega': lambda x: isinstance(x, (float, int)),

			'mu': lambda x: isinstance(x, float) and 0 <= x <= 1,

			'alpha': lambda x: isinstance(x, float) and 0 <= x <= 1,

			'S_init': lambda x: isinstance(x, (float, int)) and x > 0,

			'E_init': lambda x: isinstance(x, (float, int)) and x > 0,

			'T_min': lambda x: isinstance(x, (float, int)) and x > 0,

			'T_max': lambda x: isinstance(x, (float, int)) and x > 0

		})

		return d

	def setParameters(self, NP=50, omega=0.25, mu=0.5, alpha=0.5, S_init=10, E_init=10, T_min=-10, T_max=10, **ukwargs):

		r"""Set the arguments of an algorithm.

		"""

		return r"""Fister Jr., Iztok and Fister, Dusan and Yang, Xin-She. "A Hybrid Bat Algorithm". Elektrotehniski vestnik, 2013. 1-7."""

	@staticmethod

	def typeParameters():

		r"""Get dictionary with functions for checking values of parameters.

		Returns:

			Dict[str, Callable]: TODO

		See Also:

			* :func:`NiaPy.algorithms.basic.BatAlgorithm.typeParameters`

		"""

		d = AdaptiveBatAlgorithm.typeParameters()

		d.pop('A_s', None), d.pop('A_min', None)

		d.update({

			'A_l': lambda x: isinstance(x, (float, int)) and x >= 0,

			'A_u': lambda x: isinstance(x, (float, int)) and x >= 0,

			'r_l': lambda x: isinstance(x, (float, int)) and x >= 0,

			'r_u': lambda x: isinstance(x, (float, int)) and x >= 0,

			'tao_1': lambda x: isinstance(x, (float, int)) and 0 <= x <= 1,

			'tao_2': lambda x: isinstance(x, (float, int)) and 0 <= x <= 1

		})

		return d

	def setParameters(self, A_l=0.001, A_u=0.1, r_l=0.1, r_u=0.9, tao_1=0.5, tao_2=0.5, **ukwargs):

		r"""Set core parameters of HybridBatAlgorithm algorithm.