Cracking and Co-Evolving Randomizers

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Jan Jannink",
  title =        "Cracking and Co-Evolving Randomizers",
  booktitle =    "Advances in Genetic Programming",
  publisher =    "MIT Press",
  editor =       "Kenneth E. {Kinnear, Jr.}",
  year =         "1994",
  chapter =      "20",
  pages =        "425--443",
  URL =          "",
  URL =          "",
  URL =          "",
  size =         "19 pages",
  keywords =     "genetic algorithms, genetic programming, memory",
  abstract =     "Although pseudo-random number generator or randomizers
                 are of great importance in the domain of simulating
                 real world phenomena, it is difficult to construct
                 functions which satisfy the many criteria, such as
                 uniform distribution, which good randomizers possess.
                 It is computationally expensive perform the statistical
                 analysis required to establish their quality. Moreover,
                 no current method of analysis can guarantee quality,
                 since even the question of what constitutes the set of
                 criteria defining randomness remains open. ...",
  notes =        "Uses protect mod. But doesnt give details.Uses
                 Teller's READ and WRITE Uses IFGEN macro to evolve two
                 separate functions in same tree Ref Kolmogorov (1965) =
                 on density of information packing Ref James (1990) = on
                 very long (10**170) sequence random numbers Initilises
                 so store[x]=x+1 rather than zero.",

Genetic Programming entries for Jan Jannink