Krohn, J and 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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