benchmarkfcns.rana

benchmarkfcns.rana(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 Rana benchmark function. SCORES = rana(X) computes the value of the Rana function at point X. rana accepts a matrix of size M-by-N 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: depends on n

  • Location of global minimum: depends on n

  • Number of dimensions: n

  • Recommended domain: [-512, 512]^n

  • Number of local minima: many

  • Number of global minima: 1

  • Convexity: non-convex

  • Separability: non-separable

  • Modality: multimodal

  • Differentiable: Yes

Mathematical Definition

Visualization

rana landscape