Synthesis of a Low-Voltage Balun Circuit

 

(A Human-Competitive Result Produced by Genetic Programming)

 

The Result

Genetic programming evolved the topology and sizing of a low-voltage balun circuit as described in Section 15.4.1of Genetic Programming IV: Routine Human-Competitive Machine Intelligence (Koza, Keane, Streeter, Mydlowec, Yu, and Lanza 2003).

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Basis for Claim of Human-Competitiveness

This genetically evolved circuit is one of six genetically evolved circuits that duplicate the functionality of a circuit patented after January 1, 2000, as described in Chapter 15 of Genetic Programming IV: Routine Human-Competitive Machine Intelligence (Koza, Keane, Streeter, Mydlowec, Yu, and Lanza 2003).

This genetically evolved circuit duplicates the functionality of the low-voltage balun circuit that was patented by Sang Gug Lee of the Information and Communications University in 2001.

Lee (2001) identifies the essence of his 2001 invention in the patent documents. The essential difference between Lee’s invention and the prior art is a coupling capacitor C2 located between the base and the collector of the transistor Q2. As Lee (2001) explains,

The structure of the inventive balun circuit…  is identical to that of [the prior art] except that a capacitor C2 is further provided thereto. The capacitor C2 is a coupling capacitor disposed between the base and the collector of the transistor Q2 and serves to block DC components which may be fed to the base of the transistor Q2 from the collector of the transistor Q2.” (Emphasis added.)

The genetically evolved circuit possesses the very feature that Lee identifies as the essence of his invention, namely the second capacitor C2 (called “C302” in the figure above).

Referring to the eight criteria in table 1.2 of Genetic Programming IV: Routine Human-Competitive Machine Intelligence (Koza, Keane, Streeter, Mydlowec, Yu, and Lanza 2003) for establishing that an automatically created result is competitive with a human-produced result, this genetically evolved result satisfies the first of the eight criteria:

(A) The result was patented as an invention in the past, is an improvement over a patented invention, or would qualify today as a patentable new invention.

References

Koza, John R., Keane, Martin A., Streeter, Matthew J., Mydlowec, William, Yu, Jessen, and Lanza, Guido. 2003. Genetic Programming IV: Routine Human-Competitive Machine Intelligence. Kluwer Academic Publishers.

Lee, Sang Gug. 2001. Low Voltage Balun Circuit. U.S. patent 6,265,908. Filed December 15, 1999. Issued July 24, 2001.


· The home page of Genetic Programming Inc. at www.genetic-programming.com.

· For information about the field of genetic programming and the field of genetic and evolutionary computation, visit www.genetic-programming.org

· The home page of John R. Koza at Genetic Programming Inc. (including online versions of most published papers) and the home page of John R. Koza at Stanford University

· For information about John Koza’s course on genetic algorithms and genetic programming at Stanford University

· Information about the 1992 book Genetic Programming: On the Programming of Computers by Means of Natural Selection, the 1994 book Genetic Programming II: Automatic Discovery of Reusable Programs, the 1999 book Genetic Programming III: Darwinian Invention and Problem Solving, and the 2003 book Genetic Programming IV: Routine Human-Competitive Machine Intelligence. Click here to read chapter 1 of Genetic Programming IV book in PDF format.

· 3,440 published papers on genetic programming (as of November 28, 2003) in a searchable bibliography (with many on-line versions of papers) by over 880 authors maintained by William Langdon’s and Steven M. Gustafson.

· For information on the Genetic Programming and Evolvable Machines journal published by Kluwer Academic Publishers

· For information on the Genetic Programming book series from Kluwer Academic Publishers, see the Call For Book Proposals

· For information about the annual Genetic and Evolutionary Computation (GECCO) conference (which includes the annual GP conference) to be held on June 26–30, 2004 (Saturday – Wednesday) in Seattle and its sponsoring organization, the International Society for Genetic and Evolutionary Computation (ISGEC). For information about the annual Euro-Genetic-Programming Conference to be held on April 5-7, 2004 (Monday – Wednesday) at the University of Coimbra in Coimbra Portugal. For information about the 2003 and 2004 Genetic Programming Theory and Practice (GPTP) workshops held at the University of Michigan in Ann Arbor. For information about Asia-Pacific Workshop on Genetic Programming (ASPGP03) held in Canberra, Australia on December 8, 2003. For information about the annual NASA/DoD Conference on Evolvable Hardware Conference (EH) to be held on June 24-26 (Thursday-Saturday), 2004 in Seattle.


Last updated on December 27, 2003