NiaOrg /
NiaPy
| @@ 54-79 (lines=26) @@ | ||
| 51 | Year: 2006 |
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| 52 | Main reference: 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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| 53 | """ |
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| 54 | @staticmethod |
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| 55 | def typeParameters(): |
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| 56 | r"""Get dictionary with functions for checking values of parameters. |
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| 57 | ||
| 58 | Returns: |
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| 59 | Dict[str, Callable]: |
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| 60 | * NP (Callable[[int], bool]): Checks if number of bees parameter has a proper value. |
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| 61 | * m (Callable[[int], bool]): Checks if number of selected sites parameter has a proper value. |
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| 62 | * e (Callable[[int], bool]): Checks if number of elite selected sites parameter has a proper value. |
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| 63 | * nep (Callable[[int], bool]): Checks if number of elite bees parameter has a proper value. |
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| 64 | * nsp (Callable[[int], bool]): Checks if number of other bees parameter has a proper value. |
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| 65 | * ngh (Callable[[float], bool]): Checks if size of patches parameter has a proper value. |
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| 66 | ||
| 67 | See Also: |
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| 68 | * :func:`NiaPy.algorithms.algorithm.Algorithm.typeParameters` |
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| 69 | """ |
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| 70 | d = Algorithm.typeParameters() |
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| 71 | d.update({ |
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| 72 | 'NP': lambda x: isinstance(x, int) and x > 0, |
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| 73 | 'm': lambda x: isinstance(x, int) and x > 0, |
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| 74 | 'e': lambda x: isinstance(x, int) and x > 0, |
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| 75 | 'nep': lambda x: isinstance(x, int) and x > 0, |
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| 76 | 'nsp': lambda x: isinstance(x, int) and x > 0, |
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| 77 | 'ngh': lambda x: isinstance(x, float) and x > 0 |
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| 78 | }) |
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| 79 | return d |
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| 80 | ||
| 81 | def setParameters(self, NP=40, m=5, e=4, ngh=1, nep=4, nsp=2, **ukwargs): |
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| 82 | r"""Set the parameters of the algorithm. |
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| @@ 57-80 (lines=24) @@ | ||
| 54 | Main reference: 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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| 55 | """ |
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| 56 | ||
| 57 | @staticmethod |
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| 58 | def typeParameters(): |
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| 59 | r"""Get dictionary with functions for checking values of parameters. |
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| 60 | ||
| 61 | Returns: |
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| 62 | Dict[str, Callable]: |
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| 63 | * lt (Callable[[int], bool]): Checks if life time parameter has a proper value. |
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| 64 | * al (Callable[[int], bool]): Checks if area limit parameter has a proper value. |
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| 65 | * lsc (Callable[[int], bool]): Checks if local seeding changes parameter has a proper value. |
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| 66 | * gsc (Callable[[int], bool]): Checks if global seeding changes parameter has a proper value. |
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| 67 | * tr (Callable[[float], bool]): Checks if transfer rate parameter has a proper value. |
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| 68 | ||
| 69 | See Also: |
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| 70 | * :func:`NiaPy.algorithms.algorithm.Algorithm.typeParameters` |
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| 71 | """ |
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| 72 | d = Algorithm.typeParameters() |
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| 73 | d.update({ |
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| 74 | 'lt': lambda x: isinstance(x, int) and x > 0, |
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| 75 | 'al': lambda x: isinstance(x, int) and x > 0, |
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| 76 | 'lsc': lambda x: isinstance(x, int) and x > 0, |
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| 77 | 'gsc': lambda x: isinstance(x, int) and x > 0, |
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| 78 | 'tr': lambda x: isinstance(x, float) and 0 <= x <= 1, |
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| 79 | }) |
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| 80 | return d |
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| 81 | ||
| 82 | def setParameters(self, NP=10, lt=3, al=10, lsc=1, gsc=1, tr=0.3, **ukwargs): |
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| 83 | r"""Set the parameters of the algorithm. |
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| @@ 98-117 (lines=20) @@ | ||
| 95 | """ |
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| 96 | 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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| 97 | ||
| 98 | @staticmethod |
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| 99 | def typeParameters(): |
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| 100 | r"""Get dictionary with functions for checking values of parameters. |
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| 101 | ||
| 102 | Returns: |
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| 103 | Dict[str, Callable]: |
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| 104 | * F (Callable[[int], bool]) |
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| 105 | * R (Callable[[Union[int, float]], bool]) |
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| 106 | * C (Callable[[Union[int, float]], bool]) |
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| 107 | * FC (Callable[[Union[int, float]], bool]) |
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| 108 | """ |
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| 109 | d = Algorithm.typeParameters() |
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| 110 | d.update({ |
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| 111 | 'NP': lambda x: isinstance(x, int) and x > 0, |
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| 112 | 'F': lambda x: isinstance(x, (float, int)) and x > 0, |
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| 113 | 'R': lambda x: isinstance(x, (float, int)) and x > 0, |
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| 114 | 'C': lambda x: isinstance(x, int) and x > 0, |
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| 115 | 'FC': lambda x: isinstance(x, (float, int)) and x > 0 |
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| 116 | }) |
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| 117 | return d |
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| 118 | ||
| 119 | def setParameters(self, NP=40, F=0.7, R=0.3, C=3, FC=0.5, **ukwargs): |
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| 120 | r"""Set Monkey King Evolution v1 algorithms static parameters. |
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