@inbook { koza:1999:dacGP,
	title = {The Design of Analog Circuits by Means of Genetic Programming},
	booktitle = {Evolutionary Design by Computers},
	editor = {Peter Bentley},
	year = {1999},
	pages = {365--385},
	publisher = {Morgan Kaufmann},
	type = {incollection},
	chapter = {16},
	address = {San Francisco, USA},
	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."},
	keywords = {genetic algorithms, genetic programming},
	ISBN = {1-55860-605-X},
	URL = {http://www.genetic-programming.com/jkpdf/edc1999.pdf},
	author = { Koza, John  and  III, Forrest H Bennett  and  Andre, David  and  Keane, Martin A.}
}