Evolving stochastic processes using feature tests and genetic programming

Abstract

The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest vary over time in a probabilistic, and often noisy, manner. A suite of statistical feature tests are performed on time series plots from example processes, and the resulting feature… (More)
DOI: 10.1145/1569901.1570044

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Cite this paper

@inproceedings{Ross2009EvolvingSP, title={Evolving stochastic processes using feature tests and genetic programming}, author={Brian J. Ross and Janine H. Imada}, booktitle={GECCO}, year={2009} }