benchmarkfcns.chenbird

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

  • Global minimum: -2000

  • Location of global minimum: (7/18, 13/18)

  • Number of dimensions: 2

  • Recommended domain: [-500, 500]^2

  • Modality: multimodal

Mathematical Definition

Visualization

chenbird landscape