benchmarkfcns.attractivesector

benchmarkfcns.attractivesector(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 Attractive Sector benchmark function. SCORES = attractivesector(X) computes the value of the Attractive Sector function at point X. attractivesector accepts a matrix of size M-by-N 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: 0

  • Location of global minimum: (0, 0, …, 0)

  • Number of dimensions: n

  • Recommended domain: [-5, 5]^n

  • Modality: unimodal

  • Characteristic: non-symmetric

Mathematical Definition

Visualization

attractivesector landscape