NiaOrg /
NiaPy
| @@ 97-116 (lines=20) @@ | ||
| 94 | """ |
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| 95 | return r"""Zhenyu Meng, Jeng-Shyang Pan, Monkey King Evolution: A new memetic evolutionary algorithm and its application in vehicle fuel consumption optimization, Knowledge-Based Systems, Volume 97, 2016, Pages 144-157, ISSN 0950-7051, https://doi.org/10.1016/j.knosys.2016.01.009.""" |
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| 96 | ||
| 97 | @staticmethod |
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| 98 | def typeParameters(): |
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| 99 | r"""Get dictionary with functions for checking values of parameters. |
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| 100 | ||
| 101 | Returns: |
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| 102 | Dict[str, Callable]: |
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| 103 | * F (Callable[[int], bool]) |
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| 104 | * R (Callable[[Union[int, float]], bool]) |
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| 105 | * C (Callable[[Union[int, float]], bool]) |
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| 106 | * FC (Callable[[Union[int, float]], bool]) |
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| 107 | """ |
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| 108 | d = Algorithm.typeParameters() |
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| 109 | d.update({ |
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| 110 | 'NP': lambda x: isinstance(x, int) and x > 0, |
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| 111 | 'F': lambda x: isinstance(x, (float, int)) and x > 0, |
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| 112 | 'R': lambda x: isinstance(x, (float, int)) and x > 0, |
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| 113 | 'C': lambda x: isinstance(x, int) and x > 0, |
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| 114 | 'FC': lambda x: isinstance(x, (float, int)) and x > 0 |
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| 115 | }) |
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| 116 | return d |
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| 117 | ||
| 118 | def setParameters(self, NP=40, F=0.7, R=0.3, C=3, FC=0.5, **ukwargs): |
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| 119 | r"""Set Monkey King Evolution v1 algorithms static parameters. |
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| @@ 58-83 (lines=26) @@ | ||
| 55 | """ |
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| 56 | return r"""DT Pham, A Ghanbarzadeh, E Koc, S Otri, S Rahim, and M Zaidi. The bees algorithm-a novel tool for complex optimisation problems. In Proceedings of the 2nd Virtual International Conference on Intelligent Production Machines and Systems (IPROMS 2006), pages 454–459, 2006""" |
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| 57 | ||
| 58 | @staticmethod |
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| 59 | def typeParameters(): |
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| 60 | r"""Get dictionary with functions for checking values of parameters. |
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| 61 | ||
| 62 | Returns: |
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| 63 | Dict[str, Callable]: |
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| 64 | * NP (Callable[[int], bool]): Checks if number of bees parameter has a proper value. |
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| 65 | * m (Callable[[int], bool]): Checks if number of selected sites parameter has a proper value. |
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| 66 | * e (Callable[[int], bool]): Checks if number of elite selected sites parameter has a proper value. |
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| 67 | * nep (Callable[[int], bool]): Checks if number of elite bees parameter has a proper value. |
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| 68 | * nsp (Callable[[int], bool]): Checks if number of other bees parameter has a proper value. |
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| 69 | * ngh (Callable[[float], bool]): Checks if size of patches parameter has a proper value. |
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| 70 | ||
| 71 | See Also: |
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| 72 | * :func:`NiaPy.algorithms.algorithm.Algorithm.typeParameters` |
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| 73 | """ |
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| 74 | d = Algorithm.typeParameters() |
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| 75 | d.update({ |
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| 76 | 'NP': lambda x: isinstance(x, int) and x > 0, |
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| 77 | 'm': lambda x: isinstance(x, int) and x > 0, |
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| 78 | 'e': lambda x: isinstance(x, int) and x > 0, |
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| 79 | 'nep': lambda x: isinstance(x, int) and x > 0, |
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| 80 | 'nsp': lambda x: isinstance(x, int) and x > 0, |
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| 81 | 'ngh': lambda x: isinstance(x, float) and x > 0 |
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| 82 | }) |
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| 83 | return d |
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| 84 | ||
| 85 | def setParameters(self, NP=40, m=5, e=4, ngh=1, nep=4, nsp=2, **ukwargs): |
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| 86 | r"""Set the parameters of the algorithm. |
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| @@ 59-82 (lines=24) @@ | ||
| 56 | """ |
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| 57 | return r"""Manizheh Ghaemi, Mohammad-Reza Feizi-Derakhshi, Forest Optimization Algorithm, Expert Systems with Applications, Volume 41, Issue 15, 2014, Pages 6676-6687, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2014.05.009.""" |
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| 58 | ||
| 59 | @staticmethod |
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| 60 | def typeParameters(): |
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| 61 | r"""Get dictionary with functions for checking values of parameters. |
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| 62 | ||
| 63 | Returns: |
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| 64 | Dict[str, Callable]: |
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| 65 | * lt (Callable[[int], bool]): Checks if life time parameter has a proper value. |
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| 66 | * al (Callable[[int], bool]): Checks if area limit parameter has a proper value. |
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| 67 | * lsc (Callable[[int], bool]): Checks if local seeding changes parameter has a proper value. |
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| 68 | * gsc (Callable[[int], bool]): Checks if global seeding changes parameter has a proper value. |
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| 69 | * tr (Callable[[float], bool]): Checks if transfer rate parameter has a proper value. |
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| 70 | ||
| 71 | See Also: |
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| 72 | * :func:`NiaPy.algorithms.algorithm.Algorithm.typeParameters` |
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| 73 | """ |
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| 74 | d = Algorithm.typeParameters() |
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| 75 | d.update({ |
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| 76 | 'lt': lambda x: isinstance(x, int) and x > 0, |
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| 77 | 'al': lambda x: isinstance(x, int) and x > 0, |
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| 78 | 'lsc': lambda x: isinstance(x, int) and x > 0, |
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| 79 | 'gsc': lambda x: isinstance(x, int) and x > 0, |
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| 80 | 'tr': lambda x: isinstance(x, float) and 0 <= x <= 1, |
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| 81 | }) |
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| 82 | return d |
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| 83 | ||
| 84 | def setParameters(self, NP=10, lt=3, al=10, lsc=1, gsc=1, tr=0.3, **ukwargs): |
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| 85 | r"""Set the parameters of the algorithm. |
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