benchmarkfcns.multiobjective.zdt2¶
- benchmarkfcns.multiobjective.zdt2(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 ZDT2 multi-objective benchmark function. SCORES = multiobjective.zdt2(X) computes the value of the ZDT2 function at point X. multiobjective.zdt2 accepts a matrix of size M-by-N and returns a matrix SCORES of size M-by-2. Properties:
Global Pareto front: f_2 = 1 - f_1^2
Location of global Pareto front: x_1 ∈ [0, 1], x_i = 0 for i = 2, …, n
Number of dimensions: n (usually 30)
Recommended domain: [0, 1]^n
Convexity: non-convex (Pareto front)
Modality: unimodal
For more information, please visit: benchmarkfcns.info/doc/zdt2fcn
Mathematical Definition
Visualization