benchmarkfcns.dejongn6

benchmarkfcns.dejongn6(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 De Jong N. 6 (Wood) benchmark function. SCORES = dejongn6(X) computes the value of the function at point X. dejongn6 accepts a matrix of size M-by-4 and returns a vector SCORES of size M-by-1. Properties:

  • Global minimum: 0

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

  • Number of dimensions: 4

  • Recommended domain: [-10, 10]^4

  • Modality: multimodal

Mathematical Definition

Visualization

dejongn6 landscape