Genetic programming for anti-air missile proximity fuze delay-time algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "H. O. Nyongesa and S. Kent and R. O'Keefe",
  title =        "Genetic programming for anti-air missile proximity
                 fuze delay-time algorithms",
  journal =      "IEEE Aerospace and Electronics Systems Magazine",
  year =         "2001",
  volume =       "16",
  number =       "1",
  pages =        "41--45",
  month =        jan,
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 computation, missile guidance, detonation, timing,
                 aerospace simulation, learning automata, delay-time
                 algorithms, anti-air missiles, proximity fuzes, warhead
                 detonation, evolutionary optimization, automated timing
                 determination, simulation study",
  URL =          "",
  DOI =          "doi:10.1109/62.894177",
  size =         "5 pages",
  abstract =     "This paper describes the application of genetic
                 programming to delay-time algorithms for anti-air
                 missiles equipped with proximity fuzes. Current
                 algorithms for determining the delay-time before the
                 detonation of a missile warhead rely on human effort
                 and experience and are, in general, deficient. We show
                 that by applying genetic programming, an evolutionary
                 optimization technique, determination of the timing can
                 be automated and made near-optimal. A simulation study
                 is discussed.",

Genetic Programming entries for Henry Nyongesa Simon Kent R O'Keefe