`src.environment.problem.SOO.COCO_BBOB.bbob_torch`¶

Module Contents¶

Classes¶

`BBOB_Torch_Problem`	Introduction¶ This is the torch version of the BBOB problem class, which could get the gradient.
`NoisyProblem_torch`
`GaussNoisyProblem_torch`	Attribute ‘gause_beta’ need to be defined in subclass.
`UniformNoisyProblem_torch`	Attributes ‘uniform_alpha’ and ‘uniform_beta’ need to be defined in subclass.
`CauchyNoisyProblem_torch`	Attributes ‘cauchy_alpha’ and ‘cauchy_p’ need to be defined in subclass.
`_Sphere_torch`	Abstract Sphere
`F1_torch`
`F101_torch`
`F102_torch`
`F103_torch`
`F107_torch`
`F108_torch`
`F109_torch`
`F2_torch`	Ellipsoidal
`F3_torch`	Rastrigin
`F4_torch`	Bueche_Rastrigin
`F5_torch`	Linear_Slope
`F6_torch`	Attractive_Sector
`_Step_Ellipsoidal_torch`	Abstract Step_Ellipsoidal
`F7_torch`
`F113_torch`
`F114_torch`
`F115_torch`
`_Rosenbrock_torch`	Abstract Rosenbrock_original
`F8_torch`
`F104_torch`
`F105_torch`
`F106_torch`
`F110_torch`
`F111_torch`
`F112_torch`
`F9_torch`	Rosenbrock_rotated
`_Ellipsoidal_torch`	Abstract Ellipsoidal
`F10_torch`
`F116_torch`
`F117_torch`
`F118_torch`
`F11_torch`	Discus
`F12_torch`	Bent_cigar
`F13_torch`	Sharp Ridge
`_Dif_powers_torch`	Abstract Different Powers
`F14_torch`
`F119_torch`
`F120_torch`
`F121_torch`
`F15_torch`	Rastrigin_F15
`F16_torch`	Weierstrass
`_Scaffer_torch`	Abstract Scaffers
`F17_torch`
`F18_torch`
`F122_torch`
`F123_torch`
`F124_torch`
`_Composite_Grie_rosen_torch`	Abstract Composite_Grie_rosen
`F19_torch`
`F125_torch`
`F126_torch`
`F127_torch`
`F20_torch`	Schwefel
`_Gallagher_torch`	Abstract Gallagher
`F21_torch`
`F22_torch`
`F128_torch`
`F129_torch`
`F130_torch`
`F23_torch`	Katsuura
`F24_torch`	Lunacek_bi_Rastrigin

Functions¶

`sr_func`
`rotate_gen_torch`
`osc_transform`	Implementing the oscillating transformation on objective values or/and decision values.
`asy_transform`	Implementing the asymmetric transformation on decision values.
`pen_func`	Implementing the penalty function on decision values.

API¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.basic_problem.Basic_Problem_Torch

Introduction¶

This is the torch version of the BBOB problem class, which could get the gradient.

Initialization

move_tensors_to_device()[source]¶

get_optimal()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.NoisyProblem_torch[source]¶

abstractmethod noisy(ftrue)[source]¶

eval(x)[source]¶

boundaryHandling(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.GaussNoisyProblem_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Attribute ‘gause_beta’ need to be defined in subclass.

Initialization

noisy(ftrue)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.UniformNoisyProblem_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Attributes ‘uniform_alpha’ and ‘uniform_beta’ need to be defined in subclass.

Initialization

noisy(ftrue)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.CauchyNoisyProblem_torch[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.NoisyProblem_torch

Attributes ‘cauchy_alpha’ and ‘cauchy_p’ need to be defined in subclass.

noisy(ftrue)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch._Sphere_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Abstract Sphere

Initialization

func(x)[source]¶

src.environment.problem.SOO.COCO_BBOB.bbob_torch.sr_func(x, Os, Mr)[source]¶

src.environment.problem.SOO.COCO_BBOB.bbob_torch.rotate_gen_torch(dim)[source]¶

src.environment.problem.SOO.COCO_BBOB.bbob_torch.osc_transform(x)[source]¶

Implementing the oscillating transformation on objective values or/and decision values.

Parameters:: x – If x represents objective values, x is a 1-D array in shape [NP] if problem is single objective, or a 2-D array in shape [NP, number_of_objectives] if multi-objective. If x represents decision values, x is a 2-D array in shape [NP, dim].
Returns:: The array after transformation in the shape of x.

src.environment.problem.SOO.COCO_BBOB.bbob_torch.asy_transform(x, beta)[source]¶

Implementing the asymmetric transformation on decision values.

Parameters:

x – Decision values in shape [NP, dim].
beta – beta factor.

Returns:

The array after transformation in the shape of x.

src.environment.problem.SOO.COCO_BBOB.bbob_torch.pen_func(x, ub)[source]¶

Implementing the penalty function on decision values.

Parameters:

x – Decision values in shape [NP, dim].
ub – the upper-bound as a scalar.

Returns:

Penalty values in shape [NP].

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F1_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch._Sphere_torch

boundaryHandling(x)[source]¶

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F101_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.GaussNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Sphere_torch

gauss_beta[source]¶: 0.01

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F102_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.UniformNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Sphere_torch

uniform_alpha[source]¶: 0.01

uniform_beta[source]¶: 0.01

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F103_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.CauchyNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Sphere_torch

cauchy_alpha[source]¶: 0.01

cauchy_p[source]¶: 0.05

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F107_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.GaussNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Sphere_torch

gauss_beta[source]¶: 1.0

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F108_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.UniformNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Sphere_torch

uniform_alpha[source]¶: 1.0

uniform_beta[source]¶: 1.0

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F109_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.CauchyNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Sphere_torch

cauchy_alpha[source]¶: 1.0

cauchy_p[source]¶: 0.2

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F2_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Ellipsoidal

Initialization

__str__()[source]¶

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F3_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Rastrigin

Initialization

__str__()[source]¶

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F4_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Bueche_Rastrigin

Initialization

__str__()[source]¶

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F5_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Linear_Slope

Initialization

__str__()[source]¶

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F6_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Attractive_Sector

Initialization

__str__()[source]¶

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch._Step_Ellipsoidal_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Abstract Step_Ellipsoidal

Initialization

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F7_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch._Step_Ellipsoidal_torch

boundaryHandling(x)[source]¶

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F113_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.GaussNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Step_Ellipsoidal_torch

gauss_beta[source]¶: 1.0

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F114_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.UniformNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Step_Ellipsoidal_torch

uniform_alpha[source]¶: 1.0

uniform_beta[source]¶: 1.0

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F115_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.CauchyNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Step_Ellipsoidal_torch

cauchy_alpha[source]¶: 1.0

cauchy_p[source]¶: 0.2

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch._Rosenbrock_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Abstract Rosenbrock_original

Initialization

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F8_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch._Rosenbrock_torch

boundaryHandling(x)[source]¶

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F104_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.GaussNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Rosenbrock_torch

gauss_beta[source]¶: 0.01

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F105_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.UniformNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Rosenbrock_torch

uniform_alpha[source]¶: 0.01

uniform_beta[source]¶: 0.01

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F106_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.CauchyNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Rosenbrock_torch

cauchy_alpha[source]¶: 0.01

cauchy_p[source]¶: 0.05

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F110_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.GaussNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Rosenbrock_torch

gauss_beta[source]¶: 1.0

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F111_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.UniformNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Rosenbrock_torch

uniform_alpha[source]¶: 1.0

uniform_beta[source]¶: 1.0

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F112_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.CauchyNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Rosenbrock_torch

cauchy_alpha[source]¶: 1.0

cauchy_p[source]¶: 0.2

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F9_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Rosenbrock_rotated

Initialization

__str__()[source]¶

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch._Ellipsoidal_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Abstract Ellipsoidal

Initialization

condition[source]¶: None

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F10_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch._Ellipsoidal_torch

condition[source]¶: 1000000.0

boundaryHandling(x)[source]¶

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F116_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.GaussNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Ellipsoidal_torch

condition[source]¶: 10000.0

gauss_beta[source]¶: 1.0

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F117_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.UniformNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Ellipsoidal_torch

condition[source]¶: 10000.0

uniform_alpha[source]¶: 1.0

uniform_beta[source]¶: 1.0

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F118_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.CauchyNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Ellipsoidal_torch

condition[source]¶: 10000.0

cauchy_alpha[source]¶: 1.0

cauchy_p[source]¶: 0.2

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F11_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Discus

Initialization

__str__()[source]¶

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F12_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Bent_cigar

Initialization

beta[source]¶: 0.5

__str__()[source]¶

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F13_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Sharp Ridge

Initialization

__str__()[source]¶

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch._Dif_powers_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Abstract Different Powers

Initialization

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F14_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch._Dif_powers_torch

boundaryHandling(x)[source]¶

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F119_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.GaussNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Dif_powers_torch

gauss_beta[source]¶: 1.0

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F120_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.UniformNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Dif_powers_torch

uniform_alpha[source]¶: 1.0

uniform_beta[source]¶: 1.0

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F121_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.CauchyNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Dif_powers_torch

cauchy_alpha[source]¶: 1.0

cauchy_p[source]¶: 0.2

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F15_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Rastrigin_F15

Initialization

__str__()[source]¶

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F16_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Weierstrass

Initialization

__str__()[source]¶

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch._Scaffer_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Abstract Scaffers

Initialization

condition[source]¶: None

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F17_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch._Scaffer_torch

condition[source]¶: 10.0

boundaryHandling(x)[source]¶

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F18_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch._Scaffer_torch

condition[source]¶: 1000.0

boundaryHandling(x)[source]¶

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F122_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.GaussNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Scaffer_torch

condition[source]¶: 10.0

gauss_beta[source]¶: 1.0

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F123_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.UniformNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Scaffer_torch

condition[source]¶: 10.0

uniform_alpha[source]¶: 1.0

uniform_beta[source]¶: 1.0

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F124_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.CauchyNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Scaffer_torch

condition[source]¶: 10.0

cauchy_alpha[source]¶: 1.0

cauchy_p[source]¶: 0.2

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch._Composite_Grie_rosen_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Abstract Composite_Grie_rosen

Initialization

factor[source]¶: None

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F19_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch._Composite_Grie_rosen_torch

factor[source]¶: 10.0

boundaryHandling(x)[source]¶

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F125_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.GaussNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Composite_Grie_rosen_torch

factor[source]¶: 1.0

gauss_beta[source]¶: 1.0

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F126_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.UniformNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Composite_Grie_rosen_torch

factor[source]¶: 1.0

uniform_alpha[source]¶: 1.0

uniform_beta[source]¶: 1.0

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F127_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.CauchyNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Composite_Grie_rosen_torch

factor[source]¶: 1.0

cauchy_alpha[source]¶: 1.0

cauchy_p[source]¶: 0.2

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F20_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Schwefel

Initialization

__str__()[source]¶

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch._Gallagher_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Abstract Gallagher

Initialization

n_peaks[source]¶: None

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F21_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch._Gallagher_torch

n_peaks[source]¶: 101

boundaryHandling(x)[source]¶

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F22_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch._Gallagher_torch

n_peaks[source]¶: 21

boundaryHandling(x)[source]¶

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F128_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.GaussNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Gallagher_torch

n_peaks[source]¶: 101

gauss_beta[source]¶: 1.0

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F129_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.UniformNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Gallagher_torch

n_peaks[source]¶: 101

uniform_alpha[source]¶: 1.0

uniform_beta[source]¶: 1.0

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F130_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.CauchyNoisyProblem_torch, src.environment.problem.SOO.COCO_BBOB.bbob_torch._Gallagher_torch

n_peaks[source]¶: 101

cauchy_alpha[source]¶: 1.0

cauchy_p[source]¶: 0.2

__str__()[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F23_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Katsuura

Initialization

__str__()[source]¶

func(x)[source]¶

class src.environment.problem.SOO.COCO_BBOB.bbob_torch.F24_torch(dim, shift, rotate, bias, lb, ub, device)[source]¶

Bases: src.environment.problem.SOO.COCO_BBOB.bbob_torch.BBOB_Torch_Problem

Lunacek_bi_Rastrigin

Initialization

__str__()[source]¶

func(x)[source]¶

src.environment.problem.SOO.COCO_BBOB.bbob_torch¶

Module Contents¶

Classes¶

Introduction¶

Functions¶

API¶

Introduction¶

`src.environment.problem.SOO.COCO_BBOB.bbob_torch`¶