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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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.
|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|
|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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