benchmarkfcns.lunacekbirastrigin¶
- benchmarkfcns.lunacekbirastrigin(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 Lunacek Bi-Rastrigin benchmark function. SCORES = lunacekbirastrigin(X) computes the value of the Lunacek Bi-Rastrigin function at point X. lunacekbirastrigin accepts a matrix of size M-by-N and returns a vetor SCORES of size M-by-1 in which each row contains the function value for the corresponding row of X. Properties:
Global minimum: 0
Location of global minimum: (mu0, mu0, …, mu0) where mu0 = 2.5
Number of dimensions: n
Recommended domain: [-5, 5]^n
Modality: multimodal and deceptive (two main basins)
Separability: non-separable
Mathematical Definition
Visualization