• DocumentCode
    2455815
  • Title

    Mutation and optimal search of sequences in nested Hamming spaces

  • Author

    Belavkin, Roman V.

  • Author_Institution
    Sch. of Eng. & Inf. Sci., Middlesex Univ., London, UK
  • fYear
    2011
  • fDate
    16-20 Oct. 2011
  • Firstpage
    90
  • Lastpage
    94
  • Abstract
    A representation of evolutionary systems is defined by sequences in nested Hamming spaces, which is analogous to variable length coding. Asexual reproduction is considered as a process of finding optimal codes, and conditions are formulated under which the optimal search operator is a simple random mutation, corresponding to binomial or Poisson process. Transition probability between spheres around an optimal sequence in each Hamming space is derived and used for optimal control of mutation rate. Several control functions are discussed, including a minimal information control that has a number of interesting properties. The theory makes a number of predictions about variability of length and mutation of DNA sequences in biological organisms.
  • Keywords
    DNA; Hamming codes; cellular biophysics; microorganisms; molecular biophysics; optimal control; stochastic processes; variable length codes; DNA sequences; Poisson process; binomial processing; biological organisms; minimal information control; nested Hamming spaces; optimal search operator; optimal sequence; sexual reproduction; simple random mutation; transition probability; variable length coding; Aerospace electronics; Biological systems; Conferences; DNA; Information theory; Measurement; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop (ITW), 2011 IEEE
  • Conference_Location
    Paraty
  • Print_ISBN
    978-1-4577-0438-3
  • Type

    conf

  • DOI
    10.1109/ITW.2011.6089592
  • Filename
    6089592