NiaOrg / NiaPy

		"""

		return r"""Kaipa, Krishnanand N., and Debasish Ghose. Glowworm swarm optimization: theory, algorithms, and applications. Vol. 698. Springer, 2017."""

	@staticmethod

	def typeParameters():

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

		Returns:

			Dict[str, Callable]:

				* n (Callable[[int], bool])

				* l0 (Callable[[Union[float, int]], bool])

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

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

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

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

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

		"""

		return {

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

			'l0': lambda x: isinstance(x, (float, int)) and x > 0,

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

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

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

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

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

		}

	def setParameters(self, n=25, l0=5, nt=5, rho=0.4, gamma=0.6, beta=0.08, s=0.03, Distance=euclidean, **ukwargs):

    """

    Name = ['CatSwarmOptimization', 'CSO']

    @staticmethod

    def typeParameters(): return {

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

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

        'C1': lambda x: isinstance(x, (int, float)) and x >= 0,

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

        'SPC': lambda x: isinstance(x, bool),

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

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

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

    }

    def setParameters(self, NP=30, MR=0.1, C1=2.05, SMP=3, SPC=True, CDC=0.85, SRD=0.2, vMax=1.9, **ukwargs):