Highly multimodal test function. The cursial thing about this function is, that the global optimum is far away from the next best local optimum. The function is computed via: $$f(\mathbf{x}) = \sum_{i=1}^{n} -\mathbf{x}_i \sin\left(\sqrt(|\mathbf{x}_i|)\right)$$ with \(\mathbf{x}_i \in [-500, 500], i = 1, \ldots, n.\)
makeSchwefelFunction(dimensions)[smoof_single_objective_function]
[integer(1)]
Size of corresponding parameter space.
Schwefel, H.-P.: Numerical optimization of computer models. Chichester: Wiley & Sons, 1981.