References
- Schmidt, M and Lipson, H “Distilling Free-Form Natural Laws from Experimental Data”. In: Science, 324(5923): 81–85. Apr. 2009. DOI: 10.1126/science.1165893
- Koza, J R Genetic programming: On the programming of computers by means of natural selection, 1. MIT press, 1992.
- Vladislavleva, E, et al. “Predicting the energy output of wind farms based on weather data: Important variables and their correlation”. In: Re-newable Energy, 50: 236–243. Feb. 2013. DOI: 10.1016/j.renene.2012.06.036
- Quade, M, et al. “Prediction of dynamical systems by symbolic regression”. In: Physical Review E, 94(1). July 2016. DOI: 10.1103/PhysRevE.94.012214
- Gout, J, et al. “Synchronization control of oscillator networks using symbolic regression”. In: Nonlinear Dyn, 91(2): 1001–1021. Nov. 2017. DOI: 10.1007/s11071-017-3925-z
- Duriez, T, Brunton, S L and Noack, B R Machine Learning Control – Taming Nonlinear Dynamics and Turbulence. Springer International Publishing, 2017. DOI: 10.1007/978-3-319-40624-4
- Schmidt, M D, et al. “Automated refinement and inference of analytical models for metabolic networks”. In: Physical Biology, 8(5). Aug. 2011. DOI: 10.1088/1478-3975/8/5/055011
- Schmidt, M and Lipson, H
“Age-Fitness Pareto Optimization” . In: Genetic Programming Theory and Practice VIII, 129–146. New York: Springer, Oct. 2010. DOI: 10.1007/978-1-4419-7747-2_8 - La Cava, W, Danai, K and Spector, L “Inference of compact nonlinear dynamic models by epigenetic local search”. In: Engineering Applications of Artificial Intelligence, 55: 292–306. Oct. 2016. DOI: 10.1016/j.engappai.2016.07.004
- Galvan-Lopez, E “Efficient graph-based genetic programming representation with multiple outputs”. In: International Journal of Automation and Computing, 5(1): 81–89. Jan. 2008. DOI: 10.1007/s11633-008-0081-4
- Akgul, F ZeroMQ. Packt Publishing, 2013.
- Ecma International. “The JSON Data Interchange Format”. In: Standard ECMA-404, 9(2013).
- Jorke, G, Lampe, B and Wengel, N Arithmetische Algorithmen der Mikrorechentechnik. Verlag Technik, 1989.
- Lorenz, E N “Deterministic Nonperiodic Flow”. In: Journal of the At-mospheric Sciences, 20(2): 130–141. 1963. DOI: 10.1175/1520-0469(1963)020<;0130:DNF>2.0.CO;2
- MachineLearningControl. OpenMLC-Python. Aug. 2017. URL:
https://github.com/MachineLearningControl/OpenMLC-Python . - De Rainville, F-M, et al. “DEAP”. In: ACM SIGEVOlution, 6(2): 17–26. (Feb. 2014). DOI: 10.1145/2597453.2597455