VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Optimization of cutting process by GA approach
    Čuš, Franc, 1953- ; Balič, Jože
    The paper proposes a new optimization tehnique based on genetic algorithms for the determination of the cutting parameters in machining operations. In metal of the cutting conditions have an ... influence on reducing the production cost and time and deciding the quality of a final product. This paper presents a new methodology for continual improvement of cutting conditions with GA (Genetic Algorithms). It performs the following: the modification of recommended cutting conditions obtained from a machining data, learning of obtained cutting conditions using neural networks and the substitution of better cutting conditions for those learned previously by a proposed GA. Experimental results show that the proposed genetic algorithm-based procedure for solving the optimization problem is both effective and efficient, and can be integrated into an intellegent manufacturing system for solving complex machining optimization problems.
    Vir: Robotics and computer-integrated manufacturing. - ISSN 0736-5845 (Vol. 19, Iss. 1/2, 2003, str. 113-121)
    Vrsta gradiva - članek, sestavni del
    Leto - 2003
    Jezik - angleški
    COBISS.SI-ID - 7746838

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