@conference { koza:1996:WYWIWY,
	title = {Automated WYWIWYG Design of Both the Topology and Component Values of Electrical Circuits Using Genetic Programming},
	editor = {John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo},
	year = {1996},
	month = {"28--31 " # jul},
	pages = {123--131},
	publisher = {MIT Press},
	type = {inproceedings},
	address = {Stanford University, CA, USA},
	abstract = {This paper describes an automated process for
                 designing electrical circuits in which "What You Want
                 Is What You Get" ("WYWIWYG" - pronounced
                 "wow-eee-wig"). The design process uses genetic
                 programming to produce both the topology of the desired
                 circuit and the sizing (numerical values) for all the
                 components of a circuit. Genetic programming
                 successfully evolves both the topology and the sizing
                 for an asymmetric bandpass filter that was described as
                 being difficult-to-design in a leading electrical
                 engineering journal. This evolved circuit is another
                 instance in which a genetically evolved solution to a
                 non- trivial problem is competitive with human
                 performance.},
	keywords = {genetic algorithms, genetic programming},
	URL = {http://www.genetic-programming.com/jkpdf/gp1996nielsen.pdf},
	author = { Koza, John R.  and  III, Forrest H Bennett  and  Andre, David  and  Keane, Martin A.}
}