Genetic Algorithms, Floating Point Numbers and Applications

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "Yorick Hardy and Willi-Hans Steeb and Ruedi Stoop",
  title =        "Genetic Algorithms, Floating Point Numbers and
  journal =      "International Journal of Modern Physics C",
  volume =       "16",
  pages =        "1811--1816",
  year =         "2005",
  keywords =     "genetic algorithms, genetic programming, crossing,
                 mutation, floating point numbers",
  DOI =          "doi:10.1142/S0129183105008321",
  URL =          "",
  abstract =     "The core in most genetic algorithms is the bitwise
                 manipulations of bit strings. We show that one can
                 directly manipulate the bits in floating point numbers.
                 This means the main bitwise operations in genetic
                 algorithm mutations and crossings are directly done
                 inside the floating point number. Thus the interval
                 under consideration does not need to be known in
                 advance. For applications, we consider the roots of
                 polynomials and finding solutions of linear

Genetic Programming entries for Yorick Hardy Willi-Hans Steeb Ruedi Stoop