Affiliation:
1. Technical University of Cluj-Napoca
Abstract
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.
Publisher
Trans Tech Publications, Ltd.
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