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# Author: Simon Blanke |
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# Email: [email protected] |
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# License: MIT License |
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from .hyper_optimizer import HyperOptimizer |
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from gradient_free_optimizers import ( |
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HillClimbingOptimizer as _HillClimbingOptimizer, |
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StochasticHillClimbingOptimizer as _StochasticHillClimbingOptimizer, |
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RepulsingHillClimbingOptimizer as _RepulsingHillClimbingOptimizer, |
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SimulatedAnnealingOptimizer as _SimulatedAnnealingOptimizer, |
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DownhillSimplexOptimizer as _DownhillSimplexOptimizer, |
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RandomSearchOptimizer as _RandomSearchOptimizer, |
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GridSearchOptimizer as _GridSearchOptimizer, |
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RandomRestartHillClimbingOptimizer as _RandomRestartHillClimbingOptimizer, |
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RandomAnnealingOptimizer as _RandomAnnealingOptimizer, |
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PowellsMethod as _PowellsMethod, |
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PatternSearch as _PatternSearch, |
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ParallelTemperingOptimizer as _ParallelTemperingOptimizer, |
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ParticleSwarmOptimizer as _ParticleSwarmOptimizer, |
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SpiralOptimization as _SpiralOptimization_, |
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GeneticAlgorithmOptimizer as _GeneticAlgorithmOptimizer, |
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EvolutionStrategyOptimizer as _EvolutionStrategyOptimizer, |
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DifferentialEvolutionOptimizer as _DifferentialEvolutionOptimizer, |
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BayesianOptimizer as _BayesianOptimizer, |
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LipschitzOptimizer as _LipschitzOptimizer_, |
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DirectAlgorithm as _DirectAlgorithm_, |
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TreeStructuredParzenEstimators as _TreeStructuredParzenEstimators, |
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ForestOptimizer as _ForestOptimizer, |
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EnsembleOptimizer as _EnsembleOptimizer, |
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) |
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class HillClimbingOptimizer(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _HillClimbingOptimizer |
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class StochasticHillClimbingOptimizer(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _StochasticHillClimbingOptimizer |
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class RepulsingHillClimbingOptimizer(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _RepulsingHillClimbingOptimizer |
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class SimulatedAnnealingOptimizer(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _SimulatedAnnealingOptimizer |
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class DownhillSimplexOptimizer(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _DownhillSimplexOptimizer |
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class RandomSearchOptimizer(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _RandomSearchOptimizer |
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class GridSearchOptimizer(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _GridSearchOptimizer |
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class RandomRestartHillClimbingOptimizer(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _RandomRestartHillClimbingOptimizer |
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class RandomAnnealingOptimizer(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _RandomAnnealingOptimizer |
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class PowellsMethod(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _PowellsMethod |
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class PatternSearch(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _PatternSearch |
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class ParallelTemperingOptimizer(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _ParallelTemperingOptimizer |
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class ParticleSwarmOptimizer(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _ParticleSwarmOptimizer |
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class SpiralOptimization(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _SpiralOptimization_ |
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class GeneticAlgorithmOptimizer(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _GeneticAlgorithmOptimizer |
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class EvolutionStrategyOptimizer(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _EvolutionStrategyOptimizer |
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class DifferentialEvolutionOptimizer(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _DifferentialEvolutionOptimizer |
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class BayesianOptimizer(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _BayesianOptimizer |
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class LipschitzOptimizer(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _LipschitzOptimizer_ |
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class DirectAlgorithm(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _DirectAlgorithm_ |
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class TreeStructuredParzenEstimators(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _TreeStructuredParzenEstimators |
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class ForestOptimizer(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _ForestOptimizer |
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class EnsembleOptimizer(HyperOptimizer): |
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def __init__(self, **opt_params): |
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super().__init__(**opt_params) |
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self.optimizer_class = _EnsembleOptimizer |
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