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
Link To Document :
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