DocumentCode
3130432
Title
Routine high-return human-competitive evolvable hardware
Author
Koza, John R. ; Keane, Martin A. ; Streeter, Matthew J.
Author_Institution
Stanford Univ., CA, USA
fYear
2004
fDate
24-26 June 2004
Firstpage
3
Lastpage
17
Abstract
This paper reviews the use of genetic programming as an automated invention machine for the synthesis of both the topology and sizing of analog electrical circuits. The paper focuses on the importance of the developmental representation in this process. The paper makes the point that genetic programming now routinely delivers high-return human-competitive machine intelligence. It also makes the point that genetic programming has delivered a progression of qualitatively more substantial results in synchrony with five approximately order-of-magnitude increases in the expenditure of computer time. The paper shows six examples where genetic programming has synthesized a circuit that duplicates the functionality or infringes a 21st-century patented electrical circuit. Finally, the paper discusses how genetic programming can be enhanced in order to potentially enable it to deliver more complex industrial-strength results.
Keywords
analogue circuits; artificial intelligence; genetic algorithms; high level synthesis; network synthesis; analog electrical circuits; automated invention machine; circuit synthesis; circuit topology; genetic programming; human-competitive evolvable hardware; machine intelligence; Biology computing; Capacitors; Circuit synthesis; Circuit topology; Electric variables measurement; Genetic programming; Hardware; Machine intelligence; Resistors; Size measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolvable Hardware, 2004. Proceedings. 2004 NASA/DoD Conference on
Print_ISBN
0-7695-2145-2
Type
conf
DOI
10.1109/EH.2004.1310803
Filename
1310803
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