benchmarkfcns.wayburnseadern3¶
- benchmarkfcns.wayburnseadern3(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 Wayburn-Seader N. 3 benchmark function. SCORES = wayburnseadern3(X) computes the value of the function at point X. wayburnseadern3 accepts a matrix of size M-by-2 and returns a vector SCORES of size M-by-1. Properties:
Global minimum: 19.1059
Location of global minimum: (5.1469, 6.8396)
Number of dimensions: 2
Recommended domain: [-500, 500]^2
Modality: multimodal
Mathematical Definition
Visualization