Orthogonal Evolutionary Algorithm and its Application in Circuit Design

• Autorzy: Yan X. , Wu Q. , Liu H.

Warianty tytułu

PL

Ortogonalny algorytm ewolucyjny i jego zastosowanie do projektowania obwodów

• Języki publikacji: EN

Abstrakty

EN

During the space electronic system in carries out the exploratory mission in the deep space, it maybe faced with kinds of violent natural environment, to electric circuit's performance, the volume, the weight and the stability proposed a higher request, the traditional circuit design method already more and more with difficulty satisfied this kind of request. In this paper, proposed a new orthogonal evolutionary algorithm which uses in the electronic system circuit optimization design and through the experiment proved, the algorithm obtains the circuit structure to surpass the tradition circuit design method. For the case studies, this means has proved to be efficient and the experiment results show that the new means have got the better results.

PL

W artykule zaproponowano nowy ortogonalny algorytm ewolucyjny pozwalający na optymalizację projektowania systemów elektronicznych. Eksperymenty dowiodły że alorytm jest znacznie skuteczniejszy od tradycyjnych metod projektowania.

Słowa kluczowe

EN

orthogonal evolutionary algorithm; Circuit Design

PL

algorytm ewolucyjny; projektowanie obwodów

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 5b
• Strony: 7--10
• Opis fizyczny: Bibliogr. 11 poz., schem.

Twórcy

autor

Yan X.

autor

Wu Q.

autor

Liu H.

• China University of Geosciences

Bibliografia

• [1] Zebulum, R.S., Pacheco, M. A. and Vellasco, M. M., Evolutionary Electronics: Automatic Design of Electronic Circuits and Systems by Genetic Algorithms, CRC Press, 2001.
• [2] Thompson, A. and Layzell, P, Analysis of unconventional evolved electronics, Communications of the ACM(1997), Vol. 42, 71-79.
• [3] Louis, S.J. and Rawlins, G. J., Designer Genetic Algorithms: Genetic Algorithms in Structure Design, in Proceedings of the Fourth International Conference on Genetic Algorithms, 1991.
• [4] Coello, C.A., Christiansen, A. D. and Aguirre, A. H., Using Genetic Algorithms to Design Combinational Logic Circuits, Intelligent Engineering through Artificial Neural Networks(1996). Vol. 6, 391-396.
• [5] Miller, J.F., Thompson, P. and Fogarty, T, Algorithms and Evolution Strategies in Engineering and Computer Science: Recent Advancements and Industrial Applications(1997). Chapter 6, Wiley.
• [6] Kalganova, T., Miller, J. F. and Lipnitskaya, N., Multiple_Valued Combinational Circuits Synthesised using Evolvable Hardware, in Proceedings of the 7th Workshop on Post-Binary Ultra Large Scale Integration Systems(1998).
• [7] Torresen, J., A Divide-and-Conquer Approach to Evolvable Hardware, in Proceedings of the SecondInternational Conference on Evolvable Hardware(1998). Vol. 1478, 57-65.
• [8] X.S.Yan,Wei Wei et.al; Design Electronic Circuits by Means of Gene Expression Programming , Proceedings of the First NASA/ESA Conference on Adaptive Hardware and Systems, IEEE Press(2006), 194-199.
• [9] X.S.Yan et.al; Designing Electronic Circuits by Means of Gene Expression Programming Ⅱ , Proceedings of the 7th International Conference on Evolvable Systems: From Biology to Hardware, Lecture Notes in Computer Science, Springer Press(2007), 319-330.
• [10] J. F. MILLER, Designing Electronic Circuits Using Evolutionary Algorithms, Dept. of Computer Studies, Napier University(2003).
• [11] Leung Yiu-Wing,Wang Yuping. An orthogonal genetic algorithm with quantization for global numerical optimization. IEEE Transactions on Evolutionary Computation(2001), 5(1), 41-53.