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When performing an experiment, one wants to choose the experimental parameters in such a way, that the gain of information in a given time is maximized. In complex experiments, it is hard to achieve this objective and one is tempted to leave the solution of this optimization problem to the intuition of the experimentalist. We have developed a computerized method, which finds the optimal parameters of the experimental setting by minimizing an appropriately chosen variance function. The method is developed for (e, e′p) coincidence experiments, which aim at separating the measured cross sections into the nuclear structure functions. Starting with an experimental program proposed according to experimentalist's intuition, the method leads to modified experimental settings, which, in the same time, lead to a gain of information by a factor of 4.25 compared to the originally proposed ones of Offermann et al. (A1 proposal 6–90). The method is generally applicable to experimental like situations.