benchmarkfcns.multiobjective.mop5

benchmarkfcns.multiobjective.mop5(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 MOP5 (Viennet1 alias) multi-objective benchmark function. SCORES = multiobjective.mop5(X) computes the value of the MOP5 function at point X. multiobjective.mop5 accepts a matrix of size M-by-N and returns a matrix SCORES of size M-by-3.

Mathematical Definition

Visualization

mop5 landscape