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
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