Abstract
Encoding method is one of the key factors of evolutionary design of analog circuit. Due to the adaptability, convenience and relatively short length of linear coding method, it has been widely used for automation of analog circuit design. Evolutionary design of analog circuits, which is not limited to traditional knowledge, could generate circuits with novel structures and parameters. The novel structures provide more possible solutions for fault-tolerance design of analog circuits. While, the current linear coding method based on five connection ways limits the number of possible circuit structures. So in this paper, we improve the existing linear coding method by expanding the instruction set. The experimental results show that the improved linear coding method can generate richer circuit structures, and it opens up a new way for the fault-tolerance design of analog circuits.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Yao, X., Higuchi, T.: Promises and Challenges of Evolvable Hardware. IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews 29, 87–97 (1999)
Koza, J.R., Bennett III, F.H., Andre, D., et al.: Automated WYWIWYG Design of both the topology and component values of analog electrical circuits using genetic programming. In: Koza, J.R. (ed.) The first Annual Conference on Genetic Programming, Stanford University, CA, USA, pp. 123–131. MIT Press, Massachusetts (1996)
Koza, J.R., Bennett III, F.H., Andre, D., et al.: Automated synthesis of analog electrical circuits by mean of genetic programming. IEEE Transactions on Evolutionary Computation 1, 109–128 (1997)
Grimbleby, J.B.: Automatic Analogue Network Synthesis Using Genetic Algorithms. In: The First Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, Sheffield, UK, pp. 53–58 (1995)
Mattiussi, C., Floreano, D.: Analog Genetic Encoding for the Evolution of Circuits and Networks. IEEE Transactions on Evolutionary Computation 11, 596–607 (2007)
Lohn, J.D., Colombano, S.P.: Automated Analog Circuit Synthesis Using a Linear Representation. In: Sipper, M., Mange, D., Pérez-Uribe, A. (eds.) ICES 1998. LNCS, vol. 1478, pp. 125–133. Springer, Heidelberg (1998)
Lohn, J.D., Colombano, S.P.: A Circuit Representation Technique for Automated Circuit Design. IEEE Transactions on Evolutionary Computation 3(3), 205–219 (1999)
Vieira, P.F., Sa, L.B., Botelho, J.P.B., Mesquita, A.: Evolutionary synthesis of analog circuits using only MOS transistors. In: Proceedings of 2004 NASA/DoD Conference on Evolvable Hardware, pp. 38–45 (2004)
Liu, M., He, J.: An Evolutionary Negative-Correlation Framework for Robust Analog Circuit Design under Uncertain Faults. IEEE Transactions on Evolutionary Computation 99, 1–27 (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, Z., He, J. (2013). The Extension of Linear Coding Method for Automated Analog Circuit Design. In: Tan, Y., Shi, Y., Mo, H. (eds) Advances in Swarm Intelligence. ICSI 2013. Lecture Notes in Computer Science, vol 7929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38715-9_57
Download citation
DOI: https://doi.org/10.1007/978-3-642-38715-9_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38714-2
Online ISBN: 978-3-642-38715-9
eBook Packages: Computer ScienceComputer Science (R0)