SimonBlanke/Gradient-Free-Optimizers

# Author: Simon Blanke
# Email: simon.blanke@yahoo.com
# License: MIT License


from ..base_optimizer import BaseOptimizer


class RandomSearchOptimizer(BaseOptimizer):
    name = "Random Search"
    _name_ = "random_search"
    __name__ = "RandomSearchOptimizer"

    optimizer_type = "global"
    computationally_expensive = False

    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)

    @BaseOptimizer.track_new_pos
    def iterate(self):
        return self.move_random()

    @BaseOptimizer.track_new_score
    def evaluate(self, score_new):
        return super().evaluate(score_new)