benchmarkfcns.multiobjective.uf9

benchmarkfcns.multiobjective.uf9(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 UF9 multi-objective benchmark function. SCORES = multiobjective.uf9(X) computes the value of the UF9 function at point X. multiobjective.uf9 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

uf9 landscape