Modelling Evolving Populations
Modelling Evolving Populations
A formalism is presented for modelling the evolutionary dynamics of a population of gene sequences. The formalism was originally developed for describing genetic algorithms. In this paper the formalism is elaborated by considering the evolution of an ensemble of populations. This allows the evolution to be modelled more accurately. To illustrate the formalism the problem of a population of gene sequences evolving in a multiplicative fitness landscape is considered. A comparison with simulations is made and shows very good agreement. More complicated problems have already been investigated including sexual recombination and evolution in a multi-valleyed fitness landscape. These results will be briefly reviewed.
81-95
Prügel-Bennett, A.
b107a151-1751-4d8b-b8db-2c395ac4e14e
1997
Prügel-Bennett, A.
b107a151-1751-4d8b-b8db-2c395ac4e14e
Prügel-Bennett, A.
(1997)
Modelling Evolving Populations.
Journal of Theoretical Biology, 185, .
Abstract
A formalism is presented for modelling the evolutionary dynamics of a population of gene sequences. The formalism was originally developed for describing genetic algorithms. In this paper the formalism is elaborated by considering the evolution of an ensemble of populations. This allows the evolution to be modelled more accurately. To illustrate the formalism the problem of a population of gene sequences evolving in a multiplicative fitness landscape is considered. A comparison with simulations is made and shows very good agreement. More complicated problems have already been investigated including sexual recombination and evolution in a multi-valleyed fitness landscape. These results will be briefly reviewed.
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Published date: 1997
Organisations:
Southampton Wireless Group
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Local EPrints ID: 250690
URI: http://eprints.soton.ac.uk/id/eprint/250690
ISSN: 0022-5193
PURE UUID: 9b110c79-69bf-4a24-acd1-9e3aa73a4e8c
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Date deposited: 26 Apr 2000
Last modified: 14 Mar 2024 04:54
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Author:
A. Prügel-Bennett
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