Routine high-return human-competitive evolvable hardware

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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