benchmarkfcns.multiobjective.kursawe

benchmarkfcns.multiobjective.kursawe(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 Kursawe multi-objective benchmark function. SCORES = multiobjective.kursawe(X) computes the value of the Kursawe function at point X. multiobjective.kursawe accepts a matrix of size M-by-N and returns a matrix SCORES of size M-by-2. Properties:

  • Global Pareto front: Disconnected and non-convex

  • Number of dimensions: n (usually 3)

  • Recommended domain: [-5, 5]^n

  • Modality: multimodal

For more information, please visit: benchmarkfcns.info/doc/kursafcn

Mathematical Definition

Visualization

kursawe landscape