botorch.test_functions¶

Synthetic test functions for testing and benchmarking purposes.

botorch.test_functions.neg_branin(X)[source]¶

Negative Branin test function.

Two-dimensional function (usually evaluated on [-5, 10] x [0, 15]):

B(x) = (x2 - b x_1^2 + c x_1 - r)^2 + 10 (1-t) cos(x_1) + 10

B has 3 minimizers for its global minimum at

z_1 = (-pi, 12.275), z_2 = (pi, 2.275), z_3 = (9.42478, 2.475)

with B(z_i) = -0.397887

Parameters:	X (`Tensor`) – A Tensor of size 2 or k x 2 (k batch evaluations).
Return type:	`Tensor`
Returns:	-B(X), the negative value of the standard Branin function.

botorch.test_functions.neg_eggholder(X)[source]¶

Negative Eggholder test function.

Two-dimensional function (usually evaluated on [-512, 512]^2):

E(x) = (x_2 + 47) sin(R1(x)) - x_1 * sin(R2(x)) R1(x) = sqrt(|x_2 + x_1 / 2 + 47|) R2(x) = sqrt(|x_1 - (x_2 + 47)|)

Parameters:	X (`Tensor`) – A Tensor of size 2 or k x 2 (k batch evaluations).
Return type:	`Tensor`
Returns:	-E(X), the negative value of the Eggholder function.

botorch.test_functions.neg_hartmann6(X)[source]¶

Negative Hartmann6 test function.

Six-dimensional function (typically evaluated on [0, 1]^6)

H(x) = - sum_{i=1}^4 ALPHA_i exp( - sum_{j=1}^6 A_ij (x_j - P_ij)**2 )

H has a 6 local minima and a global minimum at

z = (0.20169, 0.150011, 0.476874, 0.275332, 0.311652, 0.6573)

with H(z) = -3.32237

Parameters:	X (`Tensor`) – A Tensor of size 6 or k x 6 (k batch evaluations).
Return type:	`Tensor`
Returns:	-H(X), the negative value of the standard Hartmann6 function.

botorch.test_functions.neg_holder_table(X)[source]¶

Negative Holder Table synthetic test function.

Two-dimensional function (typically evaluated on [0, 10] x [0, 10]):

H(x) = - | sin(x_1) * cos(x_2) * exp(| 1 - ||x|| / pi | ) |

H has 4 global minima with H(z_i) = -19.2085 at

z_1 = ( 8.05502, 9.66459) z_2 = (-8.05502, -9.66459) z_3 = (-8.05502, 9.66459) z_4 = ( 8.05502, -9.66459)

Parameters:	X (`Tensor`) – A Tensor of size 2 or k x 2 (k batch evaluations).
Return type:	`Tensor`
Returns:	-H(X), the negative value of the standard Holder Table function.

botorch.test_functions.neg_michalewicz(X)[source]¶

Negative 10-dim Michalewicz test function.

10-dim function (usually evaluated on hypercube [0, pi]^10):

M(x) = sum_{i=1}^10 sin(x_i) (sin(i x_i^2 / pi)^20)

Parameters:	X (`Tensor`) – A Tensor of size 10 or k x 10 (k batch evaluations).
Return type:	`Tensor`
Returns:	-M(X), the negative value of the Michalewicz function.

botorch.test_functions.neg_styblinski_tang(X)[source]¶

Negative Styblinski-Tang test function.

d-dimensional function (usually evaluated on the hypercube [-5, 5]^d):

H(x) = 0.5 * sum_{i=1}^d (x_i^4 - 16 * x_i^2 + 5 * x_i)

H has a single global mininimum H(z) = -39.166166 * d at z = [-2.903534]^d

Parameters:	X (`Tensor`) – A Tensor of size d or k x d (k batch evaluations)
Return type:	`Tensor`
Returns:	-H(X), the negative value of the standard Styblinski-Tang function.

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