benchmarkfcns.chichinadzen2¶
- benchmarkfcns.chichinadzen2(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 Chichinadze N. 2 benchmark function. SCORES = chichinadzen2(X) computes the value of the function at point X. chichinadzen2 accepts a matrix of size M-by-2 and returns a vector SCORES of size M-by-1. Properties:
Global minimum: -42.944387
Location of global minimum: (6.189866, 0.5)
Number of dimensions: 2
Recommended domain: [-30, 30]^2
Modality: multimodal
Mathematical Definition
Visualization