Routine high-return human-competitive automated problem-solving by means of genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "John R. Koza and Matthew J. Streeter and 
                 Martin A. Keane",
  title =        "Routine high-return human-competitive automated
                 problem-solving by means of genetic programming",
  journal =      "Information Sciences",
  year =         "2008",
  volume =       "178",
  number =       "23",
  pages =        "4434--4452",
  month =        "1 " # dec,
  note =         "Special Section: Genetic and Evolutionary Computing",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "0020-0255",
  DOI =          "doi:10.1016/j.ins.2008.07.028",
  size =         "19 pages",
  abstract =     "Genetic programming is a systematic method for getting
                 computers to automatically solve problems. Genetic
                 programming starts from a high-level statement of what
                 needs to be done and automatically creates a computer
                 program to solve the problem by means of a simulated
                 evolutionary process. The paper demonstrates that
                 genetic programming (1) now routinely delivers
                 high-return human-competitive machine intelligence; (2)
                 is an automated invention machine; (3) can
                 automatically create a general solution to a problem in
                 the form of a parameterised topology and (4) has
                 delivered a progression of qualitatively more
                 substantial results in synchrony with five
                 approximately order-of-magnitude increases in the
                 expenditure of computer time. These points are
                 illustrated by a group of recent results involving the
                 automatic synthesis of the topology and sizing of
                 analog electrical circuits, the automatic synthesis of
                 placement and routing of circuits, and the automatic
                 synthesis of controllers as well as references to work
                 involving the automatic synthesis of antennas, networks
                 of chemical reactions (metabolic pathways), genetic
                 networks, mathematical algorithms, and protein

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