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# Author: Simon Blanke
# Email: [email protected]
# License: MIT License
from ..local import HillClimbingOptimizer
class RandomAnnealingOptimizer(HillClimbingOptimizer):
def __init__(self, _main_args_, _opt_args_):
super().__init__(_main_args_, _opt_args_)
self.temp = 1
def _iterate(self, i, _cand_, _p_):
_p_.pos_new = _p_.move_climb(
_cand_, _p_.pos_current, epsilon_mod=self.temp * self._opt_args_.epsilon_mod
)
_p_.score_new = _cand_.eval_pos(_p_.pos_new)
if _p_.score_new > _cand_.score_best:
_cand_, _p_ = self._update_pos(_cand_, _p_)
self.temp = self.temp * self._opt_args_.annealing_rate
return _cand_
SimonBlanke /
Hyperactive
