NiaOrg /
NiaPy
| @@ 313-334 (lines=22) @@ | ||
| 310 | """ |
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| 311 | return r"""Lin-Yu Tseng and Chun Chen, "Multiple trajectory search for Large Scale Global Optimization," 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), Hong Kong, 2008, pp. 3052-3059. doi: 10.1109/CEC.2008.4631210""" |
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| 312 | ||
| 313 | @staticmethod |
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| 314 | def typeParameters(): |
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| 315 | r"""Get dictionary with functions for checking values of parameters. |
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| 316 | ||
| 317 | Returns: |
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| 318 | Dict[str, Callable]: |
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| 319 | * M (Callable[[int], bool]) |
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| 320 | * NoLsTests (Callable[[int], bool]) |
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| 321 | * NoLs (Callable[[int], bool]) |
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| 322 | * NoLsBest (Callable[[int], bool]) |
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| 323 | * NoEnabled (Callable[[int], bool]) |
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| 324 | * BONUS1 (Callable([[Union[int, float], bool]) |
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| 325 | * BONUS2 (Callable([[Union[int, float], bool]) |
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| 326 | """ |
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| 327 | return { |
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| 328 | 'M': lambda x: isinstance(x, int) and x > 0, |
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| 329 | 'NoLsTests': lambda x: isinstance(x, int) and x >= 0, |
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| 330 | 'NoLs': lambda x: isinstance(x, int) and x >= 0, |
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| 331 | 'NoLsBest': lambda x: isinstance(x, int) and x >= 0, |
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| 332 | 'NoEnabled': lambda x: isinstance(x, int) and x > 0, |
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| 333 | 'BONUS1': lambda x: isinstance(x, (int, float)) and x > 0, |
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| 334 | 'BONUS2': lambda x: isinstance(x, (int, float)) and x > 0, |
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| 335 | } |
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| 336 | ||
| 337 | def setParameters(self, M=40, NoLsTests=5, NoLs=5, NoLsBest=5, NoEnabled=17, BONUS1=10, BONUS2=1, LSs=(MTS_LS1, MTS_LS2, MTS_LS3), **ukwargs): |
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| @@ 61-82 (lines=22) @@ | ||
| 58 | """ |
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| 59 | return r"""Kaipa, Krishnanand N., and Debasish Ghose. Glowworm swarm optimization: theory, algorithms, and applications. Vol. 698. Springer, 2017.""" |
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| 60 | ||
| 61 | @staticmethod |
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| 62 | def typeParameters(): |
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| 63 | r"""Get dictionary with functions for checking values of parameters. |
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| 64 | ||
| 65 | Returns: |
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| 66 | Dict[str, Callable]: |
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| 67 | * n (Callable[[int], bool]) |
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| 68 | * l0 (Callable[[Union[float, int]], bool]) |
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| 69 | * nt (Callable[[Union[float, int]], bool]) |
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| 70 | * rho (Callable[[Union[float, int]], bool]) |
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| 71 | * gamma (Callable[[float], bool]) |
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| 72 | * beta (Callable[[float], bool]) |
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| 73 | * s (Callable[[float], bool]) |
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| 74 | """ |
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| 75 | return { |
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| 76 | 'n': lambda x: isinstance(x, int) and x > 0, |
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| 77 | 'l0': lambda x: isinstance(x, (float, int)) and x > 0, |
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| 78 | 'nt': lambda x: isinstance(x, (float, int)) and x > 0, |
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| 79 | 'rho': lambda x: isinstance(x, float) and 0 < x < 1, |
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| 80 | 'gamma': lambda x: isinstance(x, float) and 0 < x < 1, |
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| 81 | 'beta': lambda x: isinstance(x, float) and x > 0, |
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| 82 | 's': lambda x: isinstance(x, float) and x > 0 |
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| 83 | } |
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| 84 | ||
| 85 | def setParameters(self, n=25, l0=5, nt=5, rho=0.4, gamma=0.6, beta=0.08, s=0.03, Distance=euclidean, **ukwargs): |
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