Scientists in Operations Research and Optimization face a problem which increases in it's difficulty almost daily. More and more different objective functions have been considered for minimization, and it is therefore more and more difficult to find a new, previously unconsidered one. We propose a problem generator that can automatically generate new optimization problems. These problems can then be analyzed by scientists with, e. g., standard techniques, and standard algorithms can be applied. After such a generating process, all that remains is to invent an application for the new problem.