Searching for the Impossible using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{koza:1999:SIGP,
  author =       "John R. Koza and Martin A. Keane and 
                 Forrest H {Bennett III} and Jessen Yu and William Mydlowec and 
                 Oscar Stiffelman",
  title =        "Searching for the Impossible using Genetic
                 Programming",
  booktitle =    "Proceedings of the Genetic and Evolutionary
                 Computation Conference",
  year =         "1999",
  editor =       "Wolfgang Banzhaf and Jason Daida and 
                 Agoston E. Eiben and Max H. Garzon and Vasant Honavar and 
                 Mark Jakiela and Robert E. Smith",
  volume =       "2",
  pages =        "1083--1091",
  address =      "Orlando, Florida, USA",
  publisher_address = "San Francisco, CA 94104, USA",
  month =        "13-17 " # jul,
  publisher =    "Morgan Kaufmann",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-55860-611-4",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GP-457.pdf",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GP-457.ps",
  abstract =     "Many potential inventions are never discovered because
                 the thought processes of scientists and engineers are
                 channeled along well-traveled paths. In contrast, the
                 evolutionary process tends to opportunistically solve
                 problems without considering whether the evolved
                 solution comports with human preconceptions about
                 whether the goal is impossible. This paper demonstrates
                 how genetic programming can be used to automate the
                 process of exploring queries, conjectures, and
                 challenges concerning the existence of seemingly
                 impossible entities. The paper suggests a way by which
                 genetic programming can be used to automate the
                 invention process. We illustrate the concept using a
                 challenge posed by a leading analog electrical engineer
                 concerning whether it is possible to design a circuit
                 composed of only resistors and capacitors that delivers
                 a gain of greater than one. The paper contains a
                 circuit evolved by genetic programming that satisfies
                 the requirement of this challenge as well a related
                 more difficult challenge. The original challenge was
                 motivated by a circuit patented in 1956 for
                 preprocessing inputs to oscilloscopes. The paper also
                 contains an evolved circuit satisfying (and exceeding)
                 the original design requirements of the circuit
                 patented in 1956. This evolved circuit is another
                 example of a result produced by genetic programming
                 that is competitive with a human-produced result that
                 was considered to be creative and inventive at the time
                 it was first discovered.",
  notes =        "GECCO-99 A joint meeting of the eighth international
                 conference on genetic algorithms (ICGA-99) and the
                 fourth annual genetic programming conference (GP-99)",
}

Genetic Programming entries for John Koza Martin A Keane Forrest Bennett Jessen Yu William J Mydlowec Oscar Stiffelman

Citations