gradient_free_optimizers.optimizers.global_opt.random_restart_hill_climbing.RandomRestartHillClimbingOptimizer.iterate() - Code Metrics - SimonBlanke/Gradient-Free-Optimizers - Measure and Improve Code Quality continuously with Scrutinizer

RandomRestartHillClimbingOptimizer.iterate() A
last analyzed 2025-08-06 16:49 UTC

↳ Parent: gradient_free_optimizers.optimizers.global_opt.random_restart_hill_climbing

Complexity

Conditions

Size

Total Lines	13
Code Lines	11

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
eloc	11
dl	0
loc	13
rs	9.85
c	0
b	0
f	0
cc	3
nop	1

# Author: Simon Blanke
# Email: [email protected]
# 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,
            )


1			# Author: Simon Blanke
2			# Email: [email protected]
3			# License: MIT License
4
5
6			from ..local_opt import HillClimbingOptimizer
7
8
9			class RandomRestartHillClimbingOptimizer(HillClimbingOptimizer):
10			name = "Random Restart Hill Climbing"
11			_name_ = "random_restart_hill_climbing"
12			__name__ = "RandomRestartHillClimbingOptimizer"
13
14			optimizer_type = "global"
15			computationally_expensive = False
16
17			def __init__(
18			self,
19			search_space,
20			initialize={"grid": 4, "random": 2, "vertices": 4},
21			constraints=[],
22			random_state=None,
23			rand_rest_p=0,
24			nth_process=None,
25			epsilon=0.03,
26			distribution="normal",
27			n_neighbours=3,
28			n_iter_restart=10,
29			):
30			super().__init__(
31			search_space=search_space,
32			initialize=initialize,
33			constraints=constraints,
34			random_state=random_state,
35			rand_rest_p=rand_rest_p,
36			nth_process=nth_process,
37			epsilon=epsilon,
38			distribution=distribution,
39			n_neighbours=n_neighbours,
40			)
41			self.epsilon = epsilon
42			self.distribution = distribution
43			self.n_neighbours = n_neighbours
44			self.n_iter_restart = n_iter_restart
45
46			@HillClimbingOptimizer.track_new_pos
47			@HillClimbingOptimizer.random_iteration
48			def iterate(self):
49			notZero = self.nth_trial != 0
50			modZero = self.nth_trial % self.n_iter_restart == 0
51
52			if notZero and modZero:
53			return self.move_random()
54			else:
55			return self.move_climb(
56			self.pos_current,
57			epsilon=self.epsilon,
58			distribution=self.distribution,
59			)
60

SimonBlanke / Gradient-Free-Optimizers

RandomRestartHillClimbingOptimizer.iterate() A last analyzed 2025-08-06 16:49 UTC

Complexity

Size

Duplication

Importance

Duplication Side-by-Side

Filter issues like

RandomRestartHillClimbingOptimizer.iterate() A
last analyzed 2025-08-06 16:49 UTC