• DocumentCode
    296208
  • Title

    Phenotypes, genotypes, and operators in evolutionary computation

  • Author

    Fogel, David B.

  • Volume
    1
  • fYear
    1995
  • fDate
    Nov. 29 1995-Dec. 1 1995
  • Firstpage
    193
  • Abstract
    Evolutionary computation can be conducted at various levels of abstraction (e.g., genes, individuals, species). Recent claims have been made that simulated evolution can be made more biologically accurate by applying specific genetic operators that mimic low-level transformations to DNA. This paper argues instead that the appropriateness of particular variation operators depends on the level of abstraction of the simulation. Further, including specific random variation operators simply because they have a similar form as genetic operators that occur in nature does not, in general, lead to greater fidelity in simulation
  • Keywords
    Analytical models; Biological cells; Biological system modeling; Computational modeling; DNA; Evolution (biology); Evolutionary computation; Genetic algorithms; Genetic mutations; Physics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 1995., IEEE International Conference on
  • Conference_Location
    Perth, WA, Australia
  • Print_ISBN
    0-7803-2759-4
  • Type

    conf

  • DOI
    10.1109/ICEC.1995.489143
  • Filename
    489143