Open Problems in the Spectral Analysis of Evolutionary Dynamics

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InCollection{Altenberg:2004:OPSAED,
  title =        "Open Problems in the Spectral Analysis of Evolutionary
                 Dynamics",
  author =       "Lee Altenberg",
  booktitle =    "Frontiers of Evolutionary Computation",
  editor =       "Anil Menon",
  series =       "Genetic Algorithms And Evolutionary Computation
                 Series",
  volume =       "11",
  chapter =      "4",
  publisher =    "Kluwer Academic Publishers",
  address =      "Boston, MA, USA",
  year =         "2004",
  pages =        "73--102",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-4020-7524-3",
  URL =          "http://dynamics.org/Altenberg/FILES/LeeOPSAED.pdf",
  DOI =          "doi:10.1007/1-4020-7782-3_4",
  abstract =     "For broad classes of selection and genetic operators,
                 the dynamics of evolution can be completely
                 characterised by the spectra of the operators that
                 define the dynamics, in both infinite and finite
                 populations. These classes include generalised
                 mutation, frequency-independent selection, uniparental
                 inheritance. Several open questions exist regarding
                 these spectra: 1. For a given fitness function, what
                 genetic operators and operator intensities are optimal
                 for finding the fittest genotype? The concept of rapid
                 first hitting time, an analog of Sinclair's rapidly
                 mixing Markov chains, is examined.

                 2. What is the relationship between the spectra of
                 deterministic infinite population models, and the
                 spectra of the Markov processes derived from them in
                 the case of finite populations?

                 3. Karlin proved a fundamental relationship between
                 selection, rates of transformation under genetic
                 operators, and the consequent asymptotic mean fitness
                 of the population. Developed to analyse the stability
                 of polymorphisms in subdivided populations, the theorem
                 has been applied to unify the reduction principle for
                 self-adaptation, and has other applications as well.
                 Many other problems could be solved if it were
                 generalised to account for the interaction of different
                 genetic operators. Can Karlin's theorem on operator
                 intensity be extended to account for mixed genetic
                 operators?",
  notes =        "Revised 2010",
  size =         "26 pages",
}

Genetic Programming entries for Lee Altenberg

Citations