benchmarkfcns.baluja

benchmarkfcns.baluja(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 Baluja (Schwefel 1.2) benchmark function. SCORES = baluja(X) computes the value of the Baluja function at point X. baluja accepts a matrix of size M-by-N and returns a vector SCORES of size M-by-1. Properties:

  • Global minimum: 0

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

  • Number of dimensions: N

  • Recommended domain: [-100, 100]^N

  • Modality: unimodal

Mathematical Definition

Visualization

baluja landscape