benchmarkfcns.multiobjective.uf10¶
- benchmarkfcns.multiobjective.uf10(x: Annotated[numpy.typing.NDArray[numpy.float64], '[m, n]', 'flags.c_contiguous']) Annotated[numpy.typing.NDArray[numpy.float64], '[m, n]']¶
Computes the value of the CEC 2009 UF10 multi-objective benchmark function. SCORES = multiobjective.uf10(X) computes the value of the UF10 function at point X. multiobjective.uf10 accepts a matrix of size M-by-N and returns a matrix SCORES of size M-by-3. Properties:
Recommended domain: x1, x2 in [0, 1], xj in [-2, 2] for j=3..N
Mathematical Definition
Visualization