Muldimodal, non-scalable, continous optimization test function given by: $$f(\mathbf{x}) = 100 (\mathbf{x}_2 - 0.01 * \mathbf{x}_1^2 + 1) + 0.01 (\mathbf{x}_1 + 10)^2$$ subject to \(\mathbf{x}_1 \in [-15, -5]\) and \(\mathbf{x}_2 \in [-3, 3]\).
makeBukinN2Function()[smoof_single_objective_function]
Z. K. Silagadze, Finding Two-Dimensional Peaks, Physics of Particles and Nuclei Letters, vol. 4, no. 1, pp. 73-80, 2007.