%0 Book Section %1 streeter:2003:SSMSD %A Streeter, Matthew J. %A Keane, Martin A. %A Koza, John R. %B 2003 Southwest Symposium on Mixed-Signal Design %C Las Vegas, Nevada, USA %D 2003 %I IEEE Circuits and Systems Society %K algorithms, genetic programming %P 5--10 %T Routine human-competitive Automatic Synthesis using genetic programming of both the topology and sizing for five post-2000 patented analog and mixed analog-digital circuits %U http://www.genetic-programming.com/jkpdf/ssmsd2003.pdf %X Recent work has demonstrated that genetic programming can automatically create both the topology (graphical structure) and sizing (numerical component values) for analog electrical circuits merely by specifying the circuit's high level behaviour (e.g., its desired or observed output, given its input). This automatic synthesis of analog circuits is accomplished using only tools for the analysis of circuits (e.g., a circuit simulator) and without relying on any human know-how concerning the synthesis of circuits. This paper applies genetic programming to the automatic synthesis of five analog and mixed analog-digital circuits that duplicate the functionality of circuits patented after January 1, 2000. The five automatically created circuits read on some (but not all) of the elements of various claims of the patents involved (and therefore do not infringe). The described method can be used as an automated invention machine either to produce potentially patentable new circuits or to engineer around existing patents.

@incollection{streeter:2003:SSMSD, abstract = {Recent work has demonstrated that genetic programming can automatically create both the topology (graphical structure) and sizing (numerical component values) for analog electrical circuits merely by specifying the circuit's high level behaviour (e.g., its desired or observed output, given its input). This automatic synthesis of analog circuits is accomplished using only tools for the analysis of circuits (e.g., a circuit simulator) and without relying on any human know-how concerning the synthesis of circuits. This paper applies genetic programming to the automatic synthesis of five analog and mixed analog-digital circuits that duplicate the functionality of circuits patented after January 1, 2000. The five automatically created circuits read on some (but not all) of the elements of various claims of the patents involved (and therefore do not infringe). The described method can be used as an automated invention machine either to produce potentially patentable new circuits or to engineer around existing patents.}, added-at = {2008-06-19T17:46:40.000+0200}, address = {Las Vegas, Nevada, USA}, author = {Streeter, Matthew J. and Keane, Martin A. and Koza, John R.}, biburl = {https://www.bibsonomy.org/bibtex/24741cad52283f0c1fe6e293fabe81574/brazovayeye}, booktitle = {2003 Southwest Symposium on Mixed-Signal Design}, email = {john@johnkoza.com}, interhash = {e262f0ee7b4643c794168ef4fbbc0538}, intrahash = {4741cad52283f0c1fe6e293fabe81574}, keywords = {algorithms, genetic programming}, pages = {5--10}, publisher = {IEEE Circuits and Systems Society}, series = {Southwest Symposium on Mixed-Signal Design}, size = {6 pages}, timestamp = {2008-06-19T17:52:24.000+0200}, title = {Routine human-competitive Automatic Synthesis using genetic programming of both the topology and sizing for five post-2000 patented analog and mixed analog-digital circuits}, url = {http://www.genetic-programming.com/jkpdf/ssmsd2003.pdf}, year = 2003 }