benchmarkfcns.ackleyn2¶
- benchmarkfcns.ackleyn2(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 Ackley N. 2 function. SCORES = ackley2(X) computes the value of the Ackley N. 2 function at point X. ackley2 accepts a matrix of size M-by-2 and returns a vector SCORES of size M-by-1 in which each row contains the function value for the corresponding row of X. Properties:
Global minimum: -200
Location of global minimum: (0, 0, …, 0)
Number of dimensions: 2
Recommended domain: [-32, 32]^2
Number of local minima: many
Number of global minima: 1
Convexity: non-convex
Separability: non-separable
Modality: unimodal
Symmetry: radial symmetry
For more information, please visit: benchmarkfcns.info/doc/ackleyn2fcn
Mathematical Definition
Visualization