benchmarkfcns.judge

benchmarkfcns.judge(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 Judge benchmark function. SCORES = judge(X) computes the value of the function at point X. judge accepts a matrix of size M-by-2 and returns a vector SCORES of size M-by-1. Properties:

  • Global minimum: 16.0817

  • Location of global minimum: (0.8648, 1.2357)

  • Number of dimensions: 2

  • Recommended domain: [-10, 10]^2

  • Modality: multimodal

Mathematical Definition

Visualization

judge landscape