From: Eugene Leitl (Eugene.Leitl@lrz.uni-muenchen.de)
Date: Mon Nov 11 1996 - 04:46:37 MST
Evolvable hardware is certainly the wave of the future. Notice that CAM
circuitry and evolvable hardware development streams are starting to
converge. I am very excited about this, can hardly wait until this stuff
hits the market. ( WYWIWYG, man ;)
'gene
_________________________________________________________________________________
| mailto: ui22204@sunmail.lrz-muenchen.de | transhumanism >H, cryonics, |
| mailto: Eugene.Leitl@uni-muenchen.de | nanotechnology, etc. etc. |
| mailto: c438@org.chemie.uni-muenchen.de | "deus ex machina, v.0.0.alpha" |
| icbmto: N 48 10'07'' E 011 33'53'' | http://www.lrz-muenchen.de/~ui22204 |
---------- Forwarded message ----------
Date: Sat, 9 Nov 1996 12:22:41 -0800 (PST)
From: John R. Koza <koza@CS.Stanford.EDU>
To: CA@think.com
Subject: 3 New GP Papers
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THREE NEW PAPERS ON GENETIC PROGRAMMING
NOW AVAILABLE IN POST SCRIPT
------------------------------------------
These 3 papers are on evolutionary design of electrical circuits
using genetic programming and were presented recently at various
conferences in Japan. .
------------------------------------------
All 3 papers are available in Postscript via WWW under "Research
Publications" and "Recent Papers" on John Koza's home page at
Stanford University:
http://www-cs-faculty.stanford.edu/~koza/
------------------------------------------
"Design of a 96 Decibel operational amplifier and other problems
for which a computer program evolved by genetic pogramming is
competitive with human performance"
By
John R. Koza
David Andre
Forrest H Bennett III and
Martin A. Keane
Presented on October 5, 1996 in Ashikaga Japan and appearing in
Gen, Mitsuo and Zu, Weixuan (editors). Proceedings of l996 Japan-
China Joint International Workshop on Information Systems.
Ashikaga: Ashikaga Institute of Technology. Pages 30 - 49.
It would be desirable if computers could solve problems without
the need for a human to write the detailed programmatic steps.
That is, it would be desirable to have a domain-independent
automatic programming technique in which "What You Want Is What
You Get" ("WYWIWYG" pronounced "wow-eee-wig"). Genetic
programming is such a technique. This paper surveys three recent
examples of problems (one from the field of cellular automata and
two from the fields of molecular biology) in which genetic
programming evolved a computer program that produced results that
were slightly better than human performance for the same problem.
This paper then discusses a fourth problem in greater detail and
demonstrates that a design for a low-distortion 96 decibel op amp
(including both topology and component sizing) can be evolved
using genetic programming. The information that the user must
supply to genetic programming consists of the parts bin
(transistors, resistors, and capacitors) and the fitness measure
for the major operating characteristics of an op amp.
------------------------------------------
"Reuse, parameterized reuse, and hierarchical reuse of
substructures in evolving electrical circuits using genetic
programming"
By
John R. Koza
Forrest H Bennett III
David Andre and
Martin A. Keane
Presented October 8, 1996 in Tsukuba, Japan and appearing in
Proceedings of International Conference on Evolvable Systems: From
Biology to Hardware (ICES-96). Lecture Notes in Computer
Science, Volume ---. Berlin: Springer-Verlag.
Most practical electrical circuits contain modular substructures
that are repeatedly used to create the overall circuit. Genetic
programming with automatically defined functions and architecture-
altering operations successfully evolved a design for a two-band
crossover (woofer and tweeter) filter with a crossover frequency
of 2,512 Hz. Both the topology and the sizing (numerical values)
for each component of a the circuit were evolved. In the evolved
circuit, three different electrical substructures were used; one
was invoked five times; and one was invoked as part of a
hierarchy; and one substructure was invoked with different
numerical arguments so that different numerical component values
were assigned to the substructure's components.
------------------------------------------
"Evolution of a 60 Decibel op amp using genetic programming"
By
Forrest H Bennett III
John R. Koza
David Andre and
Martin A. Keane
Presented October 8, 1996 in Tsukuba, Japan and appearing in
Proceedings of International Conference on Evolvable Systems: From
Biology to Hardware (ICES-96). Lecture Notes in Computer
Science, Volume ---. Berlin: Springer-Verlag.
Genetic programming was used to evolve both the topology and
sizing (numerical values) for each component of a low-distortion,
low-bias 60 decibel (1000-to-1) amplifier with good frequency
generalization.
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