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  • Integrated genetic programming and genetic algorithm approach to predict surface roughness [Elektronski vir]
    Brezočnik, Miran ; Kovačič, Miha, 1974-
    In this article we propose a new integrated genetic programming and genetic algorithm approach to predict surface roughness in end-milling. Four independent variables, spindle speed, feed rate, depth ... of cut, and vibrations, were measured. Those variables influence the dependent variable (i.e., surface roughness). On the basis of training data set, different models for surface roughness were developed by genetic programming. The floating-point constants of the best model were additionally optimized by a genetic algorithm. Accuracy of the model was proved on the testing data set. By using the proposed approach, more accurate prediction of surface roughness was reached than if only modeling by genetic programming had been carried out. It was also established that the surface roughness is most influenced by the feed rate, whereas the vibrations increase the prediction accuracy.
    Vir: Materials and manufacturing processes. - ISSN 1042-6914 (Vol. 18, iss. 3, May 2003, str. 475-491)
    Vrsta gradiva - e-članek
    Leto - 2003
    Jezik - angleški
    COBISS.SI-ID - 8318486

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