Source:
Evolutionary Design by Computers, Morgan Kaufmann, San Francisco, USA, p.365--385 (1999)
ISBN:
1-55860-605-X
URL:
http://www.genetic-programming.com/jkpdf/edc1999.pdf
Keywords:
genetic algorithms;
genetic programming
Abstract:
In this chapter, genetic programming succeeded in
evolving both the topology and sizing of six different
prototypical analog electrical circuits, including a
lowpass filter, a highpass filter, a tri-state
frequency discriminator circuit, a 60 dB amplifier, a
computational circuit for the square root, and a
time-optimal robot controller circuit. All six of these
genetically evolved circuits constitute instances of an
evolutionary computation technique solving a problem
that is usually thought to require human intelligence.
There has previously been no general automated
technique for synthesizing an analog electrical circuit
from a high-level statement of the circuit's desired
behavior. The approach using genetic programming to the
problem of analog circuit synthesis is general; it can
be directly applied to other problems of analog circuit
synthesis. Each of the problems in this chapter
illustrates the automatic creation of a satisfactory
way of "how to do it" from a high-level statement
of "what needs to be done."