Evolvability and Acceleration in Evolutionary Computation

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  author =       "Ting Hu and Wolfgang Banzhaf",
  title =        "Evolvability and Acceleration in Evolutionary
  institution =  "Department of Computer Science, Memorial University of
  year =         "2008",
  number =       "2008-04",
  address =      "St. John's, NL, Canada A1B 3X5",
  month =        oct,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.mun.ca/computerscience/research/MUN-CS-2008-04.pdf",
  abstract =     "Biological and artificial evolutionary systems can
                 possess varying degrees of evolvability and different
                 rates of evolution. Such quantities can be affected by
                 various factors. Here, we review some evolutionary
                 mechanisms and discuss new developments in biology that
                 may improve evolvability or accelerate evolution in
                 artificial systems. Biological notions are discussed to
                 the degree they correspond to notions in evolutionary
                 computation. We hope the findings put forward here can
                 be used to design computational models of evolution
                 that exhibit significant gains in evolvability and
                 evolutionary speed.",
  notes =        "cited by \cite{Weise:2011:ieeeTEC}",
  size =         "72 pages",

Genetic Programming entries for Ting Hu Wolfgang Banzhaf