benchmarkfcns.schwefel225¶
- benchmarkfcns.schwefel225(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 Schwefel 2.25 benchmark function. SCORES = schwefel225(X) computes the value of the Schwefel 2.25 function at point X. schwefel225 accepts a matrix of size M-by-N and returns a vector SCORES of size M-by-1. Properties:
Global minimum: 0
Location of global minimum: (1, 1, …, 1)
Number of dimensions: n
Recommended domain: [0, 10]^n
Modality: multimodal
Mathematical Definition
Visualization