Abstract
This chapter presents a brief introduction to analog integrated circuits (ICs) design and to the area of analog IC design automation. First, the analog IC design problem is presented, that led to the research in this area, then, the traditional analog design flow is sketched and, finally, the features of the proposed methodology to enhance the circuit-sizing task are outlined.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
B. McClean, IC market to top $300 billion for first time in 2013 (2011), [Online]. Available: http://www.icinsights.com
International Technology Roadmap for Semiconductors 2009 Edition (2009), [Online]. Available: http://public.itrs.net/
G.G.E. Gielen, CAD tools for embedded analogue circuits in mixed-signal integrated systems on chip. IEEE Proc. Comput. Digit. Tech, 152(3), 317–332 (2005)
G.G.E. Gielen, R.A. Rutenbar, Computer-aided design of analog and mixed-signal integrated circuits. Proc. IEEE, 88, 1825–1854 (2000)
Cadence Design Systems Inc, http://www.cadence.com
Synopsis, http://www.synopsys.com
Mentor Graphics, http://www.mentor.com
N. Lourenço, N. Horta, GENOM-POF: multi-objective evolutionary synthesis of analog ICs with corners validation, in GECCO’ 12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference, July 2012
M.F.M. Barros, J.M.C. Guilherme, N.C.G. Horta, Analog circuits and systems optimization based on evolutionary computation techniques (Springer, Berlin, 2010)
M. Barros, J. Guilherme, N. Horta, Analog circuits optimization based on evolutionary computation techniques, Integr. VLSI J, 43(1), 136–155 (2010)
M. Barros, J. Guilherme, N. Horta, GA-SVM feasibility model and optimization kernel applied to analog IC design automation, in Proceedings of ACM Great Lakes symposium on VLSI, Stresa-Lago Maggiore, 2007
K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II. Evol. Comput. IEEE Trans, 6(2), 182–197 (2002)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2014 The Author(s)
About this chapter
Cite this chapter
Rocha, F.A.E., Martins, R.M.F., Lourenço, N.C.C., Horta, N.C.G. (2014). Introduction. In: Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-02189-8_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-02189-8_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02188-1
Online ISBN: 978-3-319-02189-8
eBook Packages: EngineeringEngineering (R0)