benchmarkfcns.multiobjective.viennet2

benchmarkfcns.multiobjective.viennet2(arg0: Annotated[numpy.typing.NDArray[numpy.float64], '[m, n]', 'flags.c_contiguous']) → Annotated[numpy.typing.NDArray[numpy.float64], '[m, n]']

Computes the value of the Viennet 2 multi-objective benchmark function. SCORES = multiobjective.viennet2(X) computes the value of the Viennet 2 function at point X. multiobjective.viennet2 accepts a matrix of size M-by-2 and returns a matrix SCORES of size M-by-3. Properties:

  • Recommended domain: [-4, 4]^2

  • Pareto front: Curved

Mathematical Definition

Visualization

viennet2 landscape