benchmarkfcns.multiobjective.osyczkakundu

benchmarkfcns.multiobjective.osyczkakundu(x: Annotated[numpy.typing.NDArray[numpy.float64], '[m, n]', 'flags.c_contiguous'], return_constraints: bool = False) → Annotated[numpy.typing.NDArray[numpy.float64], '[m, n]']

Computes the value of the Osyczka and Kundu multi-objective benchmark function. SCORES = multiobjective.osyczkakundu(X) computes the value of the Osyczka and Kundu function at point X. multiobjective.osyczkakundu accepts a matrix of size M-by-6 and returns a matrix SCORES of size M-by-2. If return_constraints is True, returns an M-by-8 matrix where the last six columns contain the constraint violations (values > 0 are violations). Properties:

  • Number of dimensions: 6

  • Recommended domain: x1, x2, x6 in [0, 10]; x3, x5 in [1, 5]; x4 in [0, 6]

  • Constraints: 6 complex non-linear constraints

Mathematical Definition

Visualization

osyczkakundu landscape