Routine high-return human-competitive evolvable hardware

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{koza:2004:EH,
  author =       "John R. Koza and Martin A. Keane and 
                 Matthew J. Streeter",
  title =        "Routine high-return human-competitive evolvable
                 hardware",
  booktitle =    "Proceedings of the 2004 NASA/DoD Conference on
                 Evolvable Hardware",
  year =         "2004",
  editor =       "Ricardo S. Zebulum and David Gwaltney and 
                 Gregory Hornby and Didier Keymeulen and Jason Lohn and 
                 Adrian Stoica",
  pages =        "3--17",
  address =      "Seattle",
  month =        "24-26 " # jun,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.genetic-programming.com/eh2004.pdf",
  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.",
  notes =        "EH2004",
}

Genetic Programming entries for John Koza Martin A Keane Matthew J Streeter

Citations