DocumentCode :
3339390
Title :
Automatic synthesis using genetic programming of both the topology and sizing for five post-2000 patented analog and mixed analog-digital circuits
Author :
Streeter, Matthew J. ; Keane, Martin A. ; Koza, John R.
Author_Institution :
Genetic Programming Inc., Mountain View, CA, USA
fYear :
2003
fDate :
23-25 Feb. 2003
Firstpage :
5
Lastpage :
10
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 behavior (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.
Keywords :
analogue integrated circuits; circuit CAD; circuit layout CAD; evolutionary computation; integrated circuit design; mixed analogue-digital integrated circuits; network topology; analog circuits; automatic synthesis; circuit simulator; circuit sizing; circuit topology; genetic programming; high level behavior; mixed analog-digital circuits; Analog circuits; Analog-digital conversion; Analytical models; Biology computing; Circuit analysis; Circuit simulation; Circuit synthesis; Circuit topology; Genetic programming; Humans;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mixed-Signal Design, 2003. Southwest Symposium on
Print_ISBN :
0-7803-7778-8
Type :
conf
DOI :
10.1109/SSMSD.2003.1190386
Filename :
1190386
Link To Document :
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