benchmarkfcns.f8f2

benchmarkfcns.f8f2(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 Expanded Griewank plus Rosenbrock (F8F2) benchmark function. SCORES = f8f2(X) computes the value of the F8F2 function at point X. f8f2 accepts a matrix of size M-by-N and returns a vetor SCORES of size M-by-1 in which each row contains the function value for the corresponding row of X. Properties:

  • Global minimum: 0

  • Location of global minimum: (1, 1, …, 1)

  • Number of dimensions: n

  • Recommended domain: [-100, 100]^n

  • Modality: multimodal

  • Characteristic: Highly non-separable.

Mathematical Definition

Visualization

f8f2 landscape