NiaOrg /
NiaPy
| @@ 621-637 (lines=17) @@ | ||
| 618 | """ |
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| 619 | return r"""S. Zheng, A. Janecek, J. Li and Y. Tan, "Dynamic search in fireworks algorithm," 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing, 2014, pp. 3222-3229. doi: 10.1109/CEC.2014.6900485""" |
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| 620 | ||
| 621 | @staticmethod |
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| 622 | def typeParameters(): |
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| 623 | r"""Get dictionary with functions for checking values of parameters. |
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| 624 | ||
| 625 | Returns: |
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| 626 | Dict[str, Callable]: |
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| 627 | * A_cr (Callable[[Union[float, int], bool]): TODo |
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| 628 | ||
| 629 | See Also: |
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| 630 | * :func:`FireworksAlgorithm.typeParameters` |
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| 631 | """ |
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| 632 | d = FireworksAlgorithm.typeParameters() |
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| 633 | d['A_cf'] = lambda x: isinstance(x, (float, int)) and x > 0 |
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| 634 | d['C_a'] = lambda x: isinstance(x, (float, int)) and x > 1 |
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| 635 | d['C_r'] = lambda x: isinstance(x, (float, int)) and 0 < x < 1 |
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| 636 | d['epsilon'] = lambda x: isinstance(x, (float, int)) and 0 < x < 1 |
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| 637 | return d |
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| 638 | ||
| 639 | def setParameters(self, A_cf=20, C_a=1.2, C_r=0.9, epsilon=1e-8, **ukwargs): |
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| 640 | r"""Set core arguments of DynamicFireworksAlgorithmGauss. |
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| @@ 85-104 (lines=20) @@ | ||
| 82 | """ |
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| 83 | return r"""Brest, J., Greiner, S., Boskovic, B., Mernik, M., Zumer, V. Self-adapting control parameters in differential evolution: A comparative study on numerical benchmark problems. IEEE transactions on evolutionary computation, 10(6), 646-657, 2006.""" |
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| 84 | ||
| 85 | @staticmethod |
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| 86 | def typeParameters(): |
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| 87 | r"""Get dictionary with functions for checking values of parameters. |
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| 88 | ||
| 89 | Returns: |
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| 90 | Dict[str, Callable]: |
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| 91 | * F_l (Callable[[Union[float, int]], bool]) |
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| 92 | * F_u (Callable[[Union[float, int]], bool]) |
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| 93 | * Tao1 (Callable[[Union[float, int]], bool]) |
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| 94 | * Tao2 (Callable[[Union[float, int]], bool]) |
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| 95 | ||
| 96 | See Also: |
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| 97 | * :func:`NiaPy.algorithms.basic.DifferentialEvolution.typeParameters` |
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| 98 | """ |
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| 99 | d = DifferentialEvolution.typeParameters() |
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| 100 | d['F_l'] = lambda x: isinstance(x, (float, int)) and x > 0 |
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| 101 | d['F_u'] = lambda x: isinstance(x, (float, int)) and x > 0 |
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| 102 | d['Tao1'] = lambda x: isinstance(x, (float, int)) and 0 <= x <= 1 |
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| 103 | d['Tao2'] = lambda x: isinstance(x, (float, int)) and 0 <= x <= 1 |
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| 104 | return d |
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| 105 | ||
| 106 | def setParameters(self, F_l=0.0, F_u=1.0, Tao1=0.4, Tao2=0.2, **ukwargs): |
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| 107 | r"""Set the parameters of an algorithm. |
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