benchmarkfcns.hartmann6

benchmarkfcns.hartmann6(arg0: Annotated[numpy.typing.NDArray[numpy.float64], '[m, n]', 'flags.c_contiguous']) → Annotated[numpy.typing.NDArray[numpy.float64], '[m, 1]']

Computes the value of the Hartmann N. 6 benchmark function. SCORES = hartmann6(X) computes the value of the Hartmann N. 6 function at point X. hartmann6 accepts a matrix of size M-by-6 and returns a vector SCORES of size M-by-1 in which each row contains the function value for the corresponding row of X. Properties:

  • Global minimum: approx -3.32237

  • Location of global minimum: approx (0.20169, 0.150011, 0.476874, 0.275332, 0.311652, 0.6573)

  • Number of dimensions: 6

  • Recommended domain: [0, 1]^6

  • Number of local minima: 6

  • Number of global minima: 1

  • Convexity: Non-convex

  • Separability: Non-separable

  • Modality: Multimodal

  • Symmetry: Non-symmetric

  • Differentiable: Yes

For more information, please visit: benchmarkfcns.info/doc/hartmann6fcn

Mathematical Definition

Visualization

hartmann6 landscape