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We present a novel approach for automatically create industrial products, namely powertrains consisting of engine, transmission and power shaft. We apply a genetic algorithm for exploring the solution space, consisting of 3000 variants, using various criteria, such as power, efficiency and rotation speed. We compare our results with the ones obtained by a human expert in terms of number of feasible solutions, respectively in terms of best and average price. We prove that the proposed approach is generally better than a human expert in exploring the solution space.
Oliviu Matei (Sun,) studied this question.