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# Author: Simon Blanke
# Email: [email protected]
# License: MIT License
from . import HillClimbingOptimizer
from ...search import Search
class RepulsingHillClimbingOptimizer(HillClimbingOptimizer, Search):
name = "Repulsing Hill Climbing"
def __init__(
self,
*args,
repulsion_factor=5,
**kwargs,
):
super().__init__(*args, **kwargs)
self.tabus = []
self.repulsion_factor = repulsion_factor
self.epsilon_mod = 1
@HillClimbingOptimizer.track_nth_iter
@HillClimbingOptimizer.random_restart
def iterate(self):
return self._move_climb(self.pos_current, epsilon_mod=self.epsilon_mod)
def evaluate(self, score_new):
super().evaluate(score_new)
if score_new <= self.score_current:
self.epsilon_mod = self.repulsion_factor
else:
SimonBlanke /
Gradient-Free-Optimizers
