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fix: ensure minimum sigma of 1.0 in Hill Climbing for fine search grids (#86) #99

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fix: ensure minimum sigma of 1.0 in Hill Climbing for fine search grids (#86) #99

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4 changes: 2 additions & 2 deletions src/gradient_free_optimizers/optimizers/local_opt/hill_climbing_optimizer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -191,8 +191,8 @@ def _iterate_discrete_batch(self) -> ndarray:
max_positions = bounds[:, 1]
sigmas = max_positions * self.epsilon

# Prevent zero sigma for single-value dimensions
sigmas = maximum(sigmas, 1e-10)
# Prevent getting stuck: ensure noise standard deviation is at least 1.0 index
sigmas = maximum(sigmas, 1.0)

# Generate noise using the configured distribution
noise_fn = self._DISTRIBUTIONS[self.distribution]
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