An evolutionary platform for developing next-generation electronic circuits

ABSTRACT

In this paper, a new method for evolving simple electronic circuits is discussed, with the aim of improving the reliability and performance of basic circuit blocks. Next-generation CMOS device models will be used in the simulation of circuits. Circuits are mapped to a grid layout which reflects the appearance of conventional schematic blocks. The performance of the system at designing passive low-pass filters is discussed, with an outline given of the intended future steps, towards the goal of integrating sub 100 nm MOSFET models into the circuits.

REFERENCES

• 1: Asenov, Asen. Random dopant induced threshold voltage lowering and fluctuations in sub 50-nm MOSFETs: a statistical 3D 'atomisitc' study. Nanotechnology Vol. 10, 1999, pp.153--158.
• 2: K. Bernstein , D. J. Frank , A. E. Gattiker , W. Haensch , B. L. Ji , S. R. Nassif , E. J. Nowak , D. J. Pearson , N. J. Rohrer, High-performance CMOS variability in the 65-nm regime and beyond, IBM Journal of Research and Development, v.50 n.4/5, p.433-449, July 2006
• 3: Fan, Zhun et al. A Bond Graph Representation Approach for Automated Analog Filter Design.
• 4: John R. Koza, Genetic programming: on the programming of computers by means of natural selection, MIT Press, Cambridge, MA, 1992
• 5: John R. Koza , David Andre , Forrest H. Bennett , Martin A. Keane, Genetic Programming III: Darwinian Invention & Problem Solving, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1999
• 6: John R. Koza, Genetic Programming IV: Routine Human-Competitive Machine Intelligence, Kluwer Academic Publishers, Norwell, MA, 2003
• 7: Koza, John R. et al, Automatic Synthesis of Electrical Circuits Containing a Free Variable Using Genetic Programming. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 2000, pp. 477--484.
• 8: John R. Koza , Forrest H. Bennett, III , David Andre , Martin A. Keane, Evolution using genetic programming of a low-distortion, 96 decibel operational amplifier, Proceedings of the 1997 ACM symposium on Applied computing, p.207-216, April 1997, San Jose, California, United States [doi>10.1145/331697.331742]
• 9: Koza, John R. et al, Use of Automatically Defined Functions and Architecture-Altering Operations In Automated Circuit Synthesis with Genetic Programming. Proceedings of the First Annual Conference on Genetic Programming, 1996.
• 10: Koza, John R. et al, Automated WYWIWYG Design of Both the Topology and Component Values of Electrical Circuits using Genetic Programming. Proceedings of the First Annual Conference on Genetic Programming, 1996.
• 11: Wim Kruiskamp , Domine Leenaerts, DARWIN: CMOS opamp synthesis by means of a genetic algorithm, Proceedings of the 32nd ACM/IEEE conference on Design automation, p.433-438, June 12-16, 1995, San Francisco, California, United States [doi>10.1145/217474.217566]
• 12: Langeheine, Jörg, Meier, Karlheinz and Schemmel, Johannes. Intrinsic Evolution of Analogue Electronic Circuits Using a CMOS FPTA Chip. Barcelona: CIMNE, 2003.
• 13: Layzell, Paul. Hardware Evolution: On the Nature of Artificially Evolved Electronic Circuits. {Online: www.infomatics.sussex.ac.uk/users/adrianth/lazwebpage/web/Motherboard/index.html}
• 14: Jason D. Lohn , Silvano Colombano, Automated Analog Circuit Sythesis Using a Linear Representation, Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware, p.125-133, September 23-25, 1998
• 15: Julian F. Miller , Dominic Job , Vesselin K. Vassilev, Principles in the Evolutionary Design of Digital Circuits—Part I, Genetic Programming and Evolvable Machines, v.1 n.1-2, p.7-35, April 2000 [doi>10.1023/A:1010016313373]
• 16: Noren, Kenneth V and Ross, John. Analog Circuit Design Using Genetic Algorithms. 1998 {Online: http://www.mrc.uidaho.edu/~knoren/GAs/B-159_paper.PDF}
• 17: Streeter, Matthew J, Keane, Martin A and Koza, John R. Automatic Synthesis Using Genetic Programming of both the Topology and Sizing for Five Post-2000 Patented Analog and Mixed-Analog Digital Circuits. Southwest Symposiumon Mixed-Signal Design, Feb 2003, pp. 5--10.
• 18: Thompson, Adrian, Layzell, Paul and Zebulum, Ricardo. Explorations in Design Space: Unconventional Electronics Design through Artificial Evolution. IEE Transactions on Evolutionary Computation, Vol. 3, Issue 3, 1999, pp. 167--196.
• 19: Terry, Michael A et al. GRACE: Generative Robust Analog Circuit Exploration. Lecture Notes In Computer Science, No. 3907, 2006, pp. 332--343.
• 20: Wu, Chao. Evolutionary Design of Analogue Circuits. Masters Thesis, Electronics Department, University of York, 2005.
• 21: Evolvable Hardware. University of Heidelburg Institute for Physics {Online: http://www.kip.uniheidelburg.de/vision/projects/eh}

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.6 SIMULATION AND MODELING
      I.6.8 Types of Simulation
          Subjects: Parallel

Additional Classification:
  I. Computing Methodologies
  I.6 SIMULATION AND MODELING
      I.6.8 Types of Simulation
          Subjects: Visual

  J. Computer Applications
  J.2 PHYSICAL SCIENCES AND ENGINEERING
      Subjects: Electronics

General Terms:
Algorithms, Design

Keywords:
CMOS, SPICE, analogue circuit design, genetic algorithms, genetic programming