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Fractal Gene Regulatory Networks for Control of Nonlinear Systems

Krohn, J; Gorse, D; (2010) Fractal Gene Regulatory Networks for Control of Nonlinear Systems. In: Schaefer, R and Cotta, C and Kolodzief, J and Rudolph, G, (eds.) PARALLEL PROBLEM SOLVING FROM NATURE-PPSN XI, PT II. (pp. 209 - 218). SPRINGER-VERLAG BERLIN

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Abstract

Gene regulatory networks (GRNs) act as cell controllers; we argue that artificial models of GRNs should therefore make good controllers also. We present the first application of a model GRN to a substantial, well recognised control problem, using the Fractal Gene Regulatory Network model to control a range of versions of the single and jointed pole balancing problem.

Type:Proceedings paper
Title:Fractal Gene Regulatory Networks for Control of Nonlinear Systems
Event:11th International Conference on Parallel Problem Solving from Nature
Location:AGU Univ, Krakow, POLAND
Dates:2010-09-11 - 2010-09-15
ISBN-13:978-3-642-15870-4
Keywords:Gene regulatory network, fractal, genetic algorithm, ALPS, control, pole balancing, inverted pendulum, EVOLUTION
UCL classification:UCL > School of BEAMS > Faculty of Engineering Science > Computer Science

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