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.
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Krohn, J., Gorse, D. (2010). Fractal Gene Regulatory Networks for Control of Nonlinear Systems. In: Schaefer, R., Cotta, C., Kołodziej, J., Rudolph, G. (eds) Parallel Problem Solving from Nature, PPSN XI. PPSN 2010. Lecture Notes in Computer Science, vol 6239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15871-1_22
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DOI: https://doi.org/10.1007/978-3-642-15871-1_22
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