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Evolving Parameters for a Noisy Bio-System

Chu, Dominique (2013) Evolving Parameters for a Noisy Bio-System. In: 2013 IEEE Symposium Series on Computational Intelligence, 16th - 19th April, 2013, Singapore. (KAR id:34408)

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Abstract

A simplified stochastic model of bacterial nutrient uptake and metabolism is presented. An evolutionary algorithm is used to explore the parameter space of this model under three different conditions: Unlimited nutrient supply, a limited nutrient supply that is replenished and a limited nutrient supply that is replenished after a period of no nutrient. A comparison of evolved parameters shows that the solutions are specific to the particular parameters for which they have been evolved. Given such solutions, this article then explores the parameter space of the evolved solutions. This shows that there is a noise-speed-cost trade-off in parameters which manifests itself through a tension between the growth rate of the cell and the likelihood of the cell running out of nutrients.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Biomolecular networks, computational biology, computational intelligence
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Dominique Chu
Date Deposited: 25 Jun 2013 13:39 UTC
Last Modified: 16 Feb 2021 12:45 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/34408 (The current URI for this page, for reference purposes)
Chu, Dominique: https://orcid.org/0000-0002-3706-2905
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