benchmarkfcns.multiobjective.uf2¶
- benchmarkfcns.multiobjective.uf2(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 UF2 multi-objective benchmark function. SCORES = multiobjective.uf2(X) computes the value of the UF2 function at point X. multiobjective.uf2 accepts a matrix of size M-by-N and returns a matrix SCORES of size M-by-2. Properties:
Recommended domain: x1 in [0, 1], xj in [-1, 1] for j=2..N
Mathematical Definition
Visualization