gradient_free_optimizers.optimizers.global_opt.random_restart_hill_climbing

Complexity

Total Complexity

4

Size/Duplication

Total Lines	59
Duplicated Lines	0 %

Importance

Changes

0

2 Methods

Rating	Name	Duplication	Size	Complexity
A	RandomRestartHillClimbingOptimizer.iterate()	0	13	3
A	RandomRestartHillClimbingOptimizer.__init__()	0	28	1

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


from ..local_opt import HillClimbingOptimizer


class RandomRestartHillClimbingOptimizer(HillClimbingOptimizer):
    name = "Random Restart Hill Climbing"
    _name_ = "random_restart_hill_climbing"
    __name__ = "RandomRestartHillClimbingOptimizer"

    optimizer_type = "global"
    computationally_expensive = False

    def __init__(
        self,
        search_space,
        initialize={"grid": 4, "random": 2, "vertices": 4},
        constraints=[],
        random_state=None,
        rand_rest_p=0,
        nth_process=None,
        epsilon=0.03,
        distribution="normal",
        n_neighbours=3,
        n_iter_restart=10,
    ):
        super().__init__(
            search_space=search_space,
            initialize=initialize,
            constraints=constraints,
            random_state=random_state,
            rand_rest_p=rand_rest_p,
            nth_process=nth_process,
            epsilon=epsilon,
            distribution=distribution,
            n_neighbours=n_neighbours,
        )
        self.epsilon = epsilon
        self.distribution = distribution
        self.n_neighbours = n_neighbours
        self.n_iter_restart = n_iter_restart

    @HillClimbingOptimizer.track_new_pos
    @HillClimbingOptimizer.random_iteration
    def iterate(self):
        notZero = self.nth_trial != 0
        modZero = self.nth_trial % self.n_iter_restart == 0

        if notZero and modZero:
            return self.move_random()
        else:
            return self.move_climb(
                self.pos_current,
                epsilon=self.epsilon,
                distribution=self.distribution,
            )