• DocumentCode
    292278
  • Title

    Population dynamics in a radically epistatic genetic system

  • Author

    Gattiker, J.R. ; Wilson, David Sloan

  • Author_Institution
    Dept. of Electr. Eng., State Univ. of New York, Binghamton, NY, USA
  • fYear
    1995
  • fDate
    29-31 May 1995
  • Firstpage
    218
  • Lastpage
    224
  • Abstract
    A genetic system that uses a radically epistatic mapping from genotype to phenotype is defined. This system is proposed in order to study the population dynamics rather than create a new system for function optimization. Two behaviors not found in traditional genetic systems are explored: first, although the genetic system uses only simple generational recombination and fitness scaling, it is capable of distributing a population of solutions on a number of non-adjacent phenotype peaks. This capability is analyzed and empirically explored. Second, the genetic system is shown to have the capability of tracking an environment where the adaptive peaks are changed in a recurrent manner
  • Keywords
    genetic algorithms; fitness scaling; generational recombination; genotype; phenotype; population dynamics; radically epistatic genetic system; radically epistatic mapping; Algorithm design and analysis; Biological system modeling; Biology; Displays; Genetic algorithms; Genetic mutations; Laboratories; Monte Carlo methods; Switches; Technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence in Neural and Biological Systems, 1995. INBS'95, Proceedings., First International Symposium on
  • Conference_Location
    Herndon, VA
  • Print_ISBN
    0-8186-7116-5
  • Type

    conf

  • DOI
    10.1109/INBS.1995.404258
  • Filename
    404258