NiaOrg /
NiaPy
| @@ 43-64 (lines=22) @@ | ||
| 40 | """ |
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| 41 | Name = ['BatAlgorithm', 'BA'] |
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| 42 | ||
| 43 | @staticmethod |
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| 44 | def typeParameters(): |
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| 45 | r"""Return dict with where key of dict represents parameter name and values represent checking functions for selected parameter. |
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| 46 | ||
| 47 | Returns: |
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| 48 | Dict[str, Callable]: |
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| 49 | * A (Callable[[Union[float, int]], bool]): Loudness. |
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| 50 | * r (Callable[[Union[float, int]], bool]): Pulse rate. |
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| 51 | * Qmin (Callable[[Union[float, int]], bool]): Minimum frequency. |
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| 52 | * Qmax (Callable[[Union[float, int]], bool]): Maximum frequency. |
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| 53 | ||
| 54 | See Also: |
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| 55 | * :func:`NiaPy.algorithms.Algorithm.typeParameters` |
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| 56 | """ |
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| 57 | d = Algorithm.typeParameters() |
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| 58 | d.update({ |
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| 59 | 'A': lambda x: isinstance(x, (float, int)) and x > 0, |
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| 60 | 'r': lambda x: isinstance(x, (float, int)) and x > 0, |
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| 61 | 'Qmin': lambda x: isinstance(x, (float, int)), |
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| 62 | 'Qmax': lambda x: isinstance(x, (float, int)) |
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| 63 | }) |
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| 64 | return d |
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| 65 | ||
| 66 | def setParameters(self, NP=40, A=0.5, r=0.5, Qmin=0.0, Qmax=2.0, **ukwargs): |
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| 67 | r"""Set the parameters of the algorithm. |
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| @@ 53-72 (lines=20) @@ | ||
| 50 | Main reference: Yang, Xin-She. Nature-Inspired Metaheuristic Algorithms, Luniver Press, 2008. |
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| 51 | """ |
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| 52 | ||
| 53 | @staticmethod |
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| 54 | def typeParameters(): |
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| 55 | r"""TODO. |
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| 56 | ||
| 57 | Returns: |
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| 58 | Dict[str, Callable]: |
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| 59 | * alpha (Callable[[Union[float, int]], bool]): TODO. |
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| 60 | * betamin (Callable[[Union[float, int]], bool]): TODO. |
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| 61 | * gamma (Callable[[Union[float, int]], bool]): TODO. |
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| 62 | ||
| 63 | See Also: |
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| 64 | * :func:`NiaPy.algorithms.Algorithm.typeParameters` |
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| 65 | """ |
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| 66 | d = Algorithm.typeParameters() |
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| 67 | d.update({ |
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| 68 | 'alpha': lambda x: isinstance(x, (float, int)) and x > 0, |
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| 69 | 'betamin': lambda x: isinstance(x, (float, int)) and x > 0, |
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| 70 | 'gamma': lambda x: isinstance(x, (float, int)) and x > 0, |
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| 71 | }) |
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| 72 | return d |
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| 73 | ||
| 74 | def setParameters(self, NP=20, alpha=1, betamin=1, gamma=2, **ukwargs): |
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| 75 | r"""Set the parameters of the algorithm. |
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