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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.

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: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Applied and Interdisciplinary Informatics Group
Faculties > Sciences > School of Computing > Applied and Interdisciplinary Informatics Group > Natural Computation Group
Faculties > Sciences > School of Computing > Computational Intelligence Group
Depositing User: Dominique Chu
Date Deposited: 25 Jun 2013 13:39 UTC
Last Modified: 29 May 2019 10:19 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/34408 (The current URI for this page, for reference purposes)
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