NiaOrg /
NiaPy
| @@ 313-325 (lines=13) @@ | ||
| 310 | SelfAdaptiveDifferentialEvolution.setParameters(self, CrossMutt=kwargs.pop('CrossMutt', multiMutations), **kwargs) |
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| 311 | self.strategies = strategies |
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| 312 | ||
| 313 | def evolve(self, pop, xb, task, **kwargs): |
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| 314 | r"""Evolve population with the help multiple mutation strategies. |
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| 315 | ||
| 316 | Args: |
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| 317 | pop (numpy.ndarray[Individual]): Current population. |
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| 318 | xb (Individual): Current best individual. |
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| 319 | task (Task): Optimization task. |
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| 320 | **kwargs (Dict[str, Any]): Additional arguments. |
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| 321 | ||
| 322 | Returns: |
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| 323 | numpy.ndarray[Individual]: New population of individuals. |
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| 324 | """ |
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| 325 | return objects2array([self.CrossMutt(pop, i, xb, self.F, self.CR, self.Rand, task, self.itype, self.strategies) for i in range(len(pop))]) |
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| 326 | ||
| 327 | class DynNpMultiStrategySelfAdaptiveDifferentialEvolution(MultiStrategySelfAdaptiveDifferentialEvolution, DynNpSelfAdaptiveDifferentialEvolutionAlgorithm): |
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| 328 | r"""Implementation of Dynamic population size self-adaptive differential evolution algorithm with multiple mutation strategies. |
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| @@ 860-872 (lines=13) @@ | ||
| 857 | DifferentialEvolution.setParameters(self, CrossMutt=multiMutations, **ukwargs) |
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| 858 | self.strategies = strategies |
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| 859 | ||
| 860 | def evolve(self, pop, xb, task, **kwargs): |
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| 861 | r"""Evolve population with the help multiple mutation strategies. |
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| 862 | ||
| 863 | Args: |
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| 864 | pop (numpy.ndarray[Individual]): Current population. |
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| 865 | xb (Individual): Current best individual. |
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| 866 | task (Task): Optimization task. |
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| 867 | **kwargs (Dict[str, Any]): Additional arguments. |
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| 868 | ||
| 869 | Returns: |
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| 870 | numpy.ndarray[Individual]: New population of individuals. |
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| 871 | """ |
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| 872 | return objects2array([self.CrossMutt(pop, i, xb, self.F, self.CR, self.Rand, task, self.itype, self.strategies) for i in range(len(pop))]) |
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| 873 | ||
| 874 | class DynNpMultiStrategyDifferentialEvolution(MultiStrategyDifferentialEvolution, DynNpDifferentialEvolution): |
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| 875 | r"""Implementation of Dynamic population size Differential evolution algorithm with dynamic population size that is defined by the quality of population. |
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