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Basic Concepts and Background

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Automated Design of Analog and High-frequency Circuits

Part of the book series: Studies in Computational Intelligence ((SCI,volume 501))

Abstract

Chapter 1 provides the basic concepts and background in both computational intelligence and EDA fields. Their relationships are discussed and the challenging problems which will be addressed in this book are introduced.

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References

  1. Russell S, Norvig P, Canny J, Malik J, Edwards D (1995) Artificial intelligence: a modern approach. Prentice hall Englewood Cliffs, New Jersey

    MATH  Google Scholar 

  2. Eiben A, Smith J (2003) Introduction to evolutionary computing. Springer Verlag, Berlin

    Google Scholar 

  3. Dreslinski R, Wieckowski M, Blaauw D, Sylvester D, Mudge T (2010) Near-threshold computing: reclaiming moore’s law through energy efficient integrated circuits. Proc IEEE 98(2):253–266

    Article  Google Scholar 

  4. ITRS (Sept. 2011) ITRS report. http://www.itrs.net/

  5. Liu B, Wang Y, Yu Z, Liu L, Li M, Wang Z, Lu J, Fernández F (2009d) Analog circuit optimization system based on hybrid evolutionary algorithms. Integr VLSI J 42(2):137–148

    Article  Google Scholar 

  6. Gielen G, Eeckelaert T, Martens E, McConaghy T (2007) Automated synthesis of complex analog circuits. In: Proceedings of 18th european conference on circuit theory and design, pp 20–23

    Google Scholar 

  7. McConaghy T, Palmers P, Gao P, Steyaert M, Gielen G (2009a) Variation-aware analog structural synthesis: a computational intelligence approach. Springer Verlag, Berlin

    Google Scholar 

  8. Liu B, Fernández F, Gielen G (2011a) Efficient and accurate statistical analog yield optimization and variation-aware circuit sizing based on computational intelligence techniques. IEEE Trans Comput Aided Des Integr Circ Syst 30(6):793–805

    Article  Google Scholar 

  9. Niknejad A, Hashemi H (2008) mm-Wave silicon technology: 60GHz and beyond. Springer Verlag, New York

    Google Scholar 

  10. Choi K, Allstot D (2006) Parasitic-aware design and optimization of a CMOS RF power amplifier. IEEE Trans Circ Syst I Regul Pap 53(1):16–25

    Article  Google Scholar 

  11. Tulunay G, Balkir S (2008) A synthesis tool for CMOS RF low-noise amplifiers. IEEE Trans Comput Aided Des Integr Circ Syst 27(5):977–982

    Article  Google Scholar 

  12. Ramos J, Francken K, Gielen G, Steyaert M (2005) An efficient, fully parasitic-aware power amplifier design optimization tool. IEEE Trans Circ Syst I Regul Pap 52(8):1526–1534

    Article  Google Scholar 

  13. Balanis C (1982) Antenna theory: analysis and design. Wiley, New York

    Google Scholar 

  14. Poian M, Poles S, Bernasconi F, Leroux E, Steffé W, Zolesi M (2008) Multi-objective optimization for antenna design. In: Proceedings of IEEE international conference on microwaves, communications, antennas and electronic systems, pp 1–9

    Google Scholar 

  15. Yeung S, Man K, Luk K, Chan C (2008) A trapeizform U-slot folded patch feed antenna design optimized with jumping genes evolutionary algorithm. IEEE Trans Antennas Propag 56(2):571–577

    Article  Google Scholar 

  16. Mezura-Montes E (2009) Constraint-handling in evolutionary optimization. Springer Verlag, Berlin

    Google Scholar 

  17. Hart W, Krasnogor N, Smith J (2005) Recent advances in memetic algorithms. Springer Verlag, Berlin

    Google Scholar 

  18. Fogel D (2006) Evolutionary computation: toward a new philosophy of machine intelligence. Wiley-IEEE Press, Piscataway

    Google Scholar 

  19. Coello C, Lamont G, Veldhuizen D (2007) Evolutionary algorithms for solving multi-objective problems. Springer-Verlag, New York

    Google Scholar 

  20. Price K, Storn R, Lampinen J (2005) Differential evolution: a practical approach to global optimization. Springer-Verlag, New York

    Google Scholar 

  21. Poli R, Kennedy J, Blackwell T (2007) Particle swarm optimization. Swarm Intell 1(1):33–57

    Article  Google Scholar 

  22. Dorigo M, Birattari B, Stützle T (2006) Ant colony optimization. IEEE Comput Intell Mag 1(4):28–39

    Google Scholar 

  23. Ross T (1995) Fuzzy logic with engineering applications. Wiley, New York

    Google Scholar 

  24. Zadeh L (1965) Fuzzy sets. Inf control 8(3):338–353

    Article  MathSciNet  MATH  Google Scholar 

  25. Liu B (2002) Theory and practice of uncertain programming. Physica Verlag, Heidelberg

    Google Scholar 

  26. Eiben A, Bäck T (1997) Empirical investigation of multiparent recombination operators in evolution strategies. Evol Comput 5(3):347–365

    Article  Google Scholar 

  27. Gielen G, McConaghy T, Eeckelaert T (2005) Performance space modeling for hierarchical synthesis of analog integrated circuits. In: Proceedings of the 42nd annual design automation conference, pp 881–886

    Google Scholar 

  28. Liu B, Deferm N, Zhao D, Reynaert P, Gielen G (2012b) An efficient high-frequency linear RF amplifier synthesis method based on evolutionary computation and machine learning techniques. IEEE Trans Comput Aided Des Integr Circ Syst 31(7):981–993

    Article  Google Scholar 

  29. Synopsys (2013) HSPICE homepage. http://www.synopsys.com/Tools/Verification/AMSVerification/CircuitSimulation/HSPICE/Pages/default.aspx

  30. Cadence (2013) cadence design system homepage. http://www.cadence.com/us/pages/default.aspx

  31. Mentor-Graphics (2013) Mentor graphics homepage. http://www.mentor.com/

  32. Yu W (2009) Electromagnetic simulation techniques based on the FDTD method. Wiley, New York

    Google Scholar 

  33. Agilent (2013) Agilent technology homepage. http://www.home.agilent.com/

  34. CST (2013) CST computer simulation technology homepage. http://www.cst.com/

  35. Eeckelaert T, McConaghy T, Gielen G (2005) Efficient multiobjective synthesis of analog circuits using hierarchical pareto-optimal performance hypersurfaces. In: Proceedings of the conference on design, automation and test, pp 1070–1075

    Google Scholar 

  36. McConaghy T, Palmers P, Gielen G, Steyaert M (2007) Simultaneous multi-topology multi-objective sizing across thousands of analog circuit topologies. In: Proceedings of the 44th design automation conference, pp 944–947

    Google Scholar 

  37. Medeiro F, Rodríguez-Macías R, Fernández F, Domínguez-Castro R, Huertas J, Rodríguez-Vázquez A (1994b) Global design of analog cells using statistical optimization techniques. Analog Integr Circ Sig Process 6(3):179–195

    Article  Google Scholar 

  38. Medeiro F, Fernández F, Dominguez-Castro R, Rodriguez-Vazquez A (1994a) A statistical optimization-based approach for automated sizing of analog cells. In: Proceedings of the IEEE/ACM international conference on Computer-aided design, pp 594–597

    Google Scholar 

  39. MunEDA (2013) MunEDA homepage. http://www.muneda.com/index.php

  40. McConaghy T, Palmers P, Gielen G, Steyaert M (2008) Genetic programming with reuse of known designs for industrially scalable, novel circuit design, Chap. 10. Genetic Programming Theory and Practice V. Springer, pp 159–184

    Google Scholar 

  41. Allstot D, Choi K, Park J (2003) Parasitic-aware optimization of CMOS RF circuits. Springer, New York

    Google Scholar 

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Correspondence to Bo Liu .

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Liu, B., Gielen, G., Fernández, F.V. (2014). Basic Concepts and Background. In: Automated Design of Analog and High-frequency Circuits. Studies in Computational Intelligence, vol 501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39162-0_1

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  • DOI: https://doi.org/10.1007/978-3-642-39162-0_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39161-3

  • Online ISBN: 978-3-642-39162-0

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