Obliczanie ewolucyjne w projektowaniu i wytwarzaniu

• Autorzy: Kusiak A.

Warianty tytułu

EN

Evolutionary computation in design and manufacturing

• Języki publikacji: PL

Abstrakty

PL

Biologia i technika informatyczna będą miały wpływ na projektowanie przyszłych produktów i procesów. W artykule omawiane są ważne zadania, stojące przed projektowaniem produktu i procesu. Wprowadza się pojęcie obliczania ewolucyjnego i omawia się jego potencjalne zastosowania w projektowaniu i wytwarzaniu.

EN

Biology and information technology will have an impact on the design of future products and processes. In this paper, the product and process design challenges are discussed. Evolutionary computation is introduced and its potential applications in design and manufacturing are discussed.

Słowa kluczowe

PL

obliczanie ewolucyjne; projektowanie techniczne; wytwarzanie

EN

evolutionary computation; engineering design; manufacturing

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Inżynieria Maszyn
• Rocznik: 2000
• Tom: R. 5, z. 1/2
• Strony: 54--65
• Opis fizyczny: Bibliogr. 20 poz.

Twórcy

autor

Kusiak A.

• Intelligent Systems Laboratory 4312 Seamans Center The University of Iowa, Iowa City, Iowa

Bibliografia

• [1] BÄCK T., Evolutionary Algorithms in Theory and Practice, Oxford University Press, New York 1996.
• [2] BENZHAF W., NORDIN P., KELLER R.E., FRANCONE F.D., Genetic Programming; An Introduction, Morgan Kaufmann, San Francisco 1998, CA.
• [3] COELLO C.A.C., A comprehensive survey of evolutionary-based multiobjective optimization techniques, Knowledge and Information Systems, Vol. 1, No. 3, 1999, ss. 269-308.
• [4] EIBEN A.E., BÄCK T., Empirical investigation of multiparent recombination operators in evolution strategies, Computational Intelligence, Vol. 5, No. 3, 1997, ss. 347- 365.
• [5] FONSECA C.M., Fleming P.J., An overview of evolutionary algorithms in multiobjective optimization, Evolutionary Computation, Vol. 3, No. 1, 1995, ss. 1-16.
• [6] HORN J., GOLDBERG D.E., DEB K., Implicit niching in a learning classifier system: Nature’s way, Evolutionary Computation, Vol. 2, No. 1, 1994, ss. 37-66.
• [7] IBA H., de GARIS H„ SATO T., A numerical approach to genetic programming for system identification, Evolutionary Computation, Vol. 3, No. 4, 1995, ss. 417-452.
• [8] KOZA Z., Genetic Programming, MIT Press, Cambridge 1992, MA.
• [9] KUSIAK A, Computational Intelligence in Design and Manufacturing, John Wiley, New York 2000.
• [10] KUSIAK A., Engineering Design: Products, Processes, and Systems, Academic Press, San Diego 1999, CA.
• [11] LOHN J.D. COLOMBANO S.P., A circuit representation technique for automated circuit design, IEEE Transactions on Evolutionary Computation, Vol. 3, No. 3, 1999, ss. 205-219.
• [12] MICHALSKI R.S., MOZETIC I., HONG J., LAVRAC N., The multi-purpose incremental learning system AQ15 and its testing application to three medical domains, Proceedings of the 5th National Conference on Artificial Intelligence, AAAI Press, Palo Alto 1986, CA, ss. 1041-1045.
• [13] MORIARTY D.E., MIIKKULAINEN R., Forming neural networks through efficient ad adaptive coevolution, Evolutionary Computation, Vol. 5, No. 4,1998, ss. 373-399.
• [14] OLAFSSON S., Resource allocation as an evolving strategy, Evolutionary Computation, Vol. 4, No. 1, 1996, ss. 33-55.
• [15] SCHWEITZER F., ROSE H., EBELING W., WEISS 0., Optimization of road networks using evolutionary strategies, Evolutionary Computation, Vol. 5, No. 4, 1997, ss. 419-438.
• [16] SOULE T., FOSTER J.A., Effects of code growth and parsimony pressure on populations in genetic programming, Evolutionary Computation, Vol. 6, No. 4, 1998, ss. 293-309.
• [17] THOMPSON A., LAYZELL P., ZEBULUM R.S., Exploration in design space: Unconventional electronics design through artificial evolution, IEEE Transactions on Evolutionary Computation, Vol. 3, No. 2, 1999, ss. 167-196.
• [18] Van VELDHUIZEN D.A., LEMONT G.B., Multiobjective evolutionary algorithms: Analyzing the state-of-the-art, Evolutionary Computation, Vol. 8, No. 2,2000, ss. 125- 147.
• [19] YAO X., LIU Y, LIN G., Evolutionary programming made easier, IEEE Transactions on Evolutionary Computation, Vol. 3, No. 2, 1999, ss. 82-102.
• [20] ZHANG B.-T., MUEHLENBEIN H., Balancing accuracy and parsimony in genetic programming, Evolutionary Computation, Vol. 3, No. 1,1995, ss. 17-38.