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."
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