@conference { andre:1998:tdcGP,
	title = {On the Theory of Designing Circuits using Genetic Programming and a Minimum of Domain Knowledge},
	year = {1998},
	month = {"5-9 " # may},
	pages = {130--135},
	publisher = {IEEE Press},
	type = {inproceedings},
	address = {Anchorage, Alaska, USA},
	abstract = {The problem of analog circuit design is a difficult
                 problem that is generally viewed as requiring human
                 intelligence to solve. Considerable progress has been
                 made in automating the design of certain categories of
                 purely digital circuits; however, the design of analog
                 electrical circuits and mixed analog-digital circuits
                 has not proved to be as amenable to automation. When
                 critical analog circuits are required for a project,
                 skilled and highly trained experts are necessary.
                 Previous work on applying genetic programming to the
                 design of analog circuits has proved to be successful
                 at evolving a wide variety of circuits, including
                 filters, amplifiers, and computational circuits;
                 however, previous approaches have required the
                 specification of an appropriate embryonic circuit. This
                 paper explores a method to eliminate even this small
                 amount of problem specific knowledge, and, in addition,
                 proves that the representation used is capable of
                 producing all circuits.},
	keywords = {genetic algorithms, genetic programming},
	author = { Andre, David  and  III, Forrest H Bennett  and  Koza, John  and  Keane, Martin A.}
}