Understanding space weather via analysis, prediction, modeling, and classification supported by Genetic Programming.

Details Understanding space weather via analysis, prediction, modeling, and classification supported by Genetic Programming. Understanding space weather via analysis, prediction, modeling, and classification supported by Genetic Programming.

Dec 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agufmsm13a0311j&link_type=abstract

American Geophysical Union, Fall Meeting 2005, abstract #SM13A-0311

Physics

Geophysics

2722 Forecasting (7924, 7964), 2753 Numerical Modeling, 2794 Instruments And Techniques, 3200 Mathematical Geophysics (0500, 4400, 7833), 9820 Techniques Applicable In Three Or More Fields

Scientific paper

We will demonstrate the application of genetic programming to several different space physics problems. Genetic programming is an evolutionary optimization or search technique. In contrast to most common search techniques, genetic programming can search spaces of algorithms or mathematical functions. A population of candidate solutions is allowed to evolve in accordance with the Darwinian principles of natural selection and survival of the fittest. Candidate solutions are evaluated against a truth data set. For example, if the task is to reproduce a training data set based on some inputs, the fitness will measure how well the candidate solution performs in this task. Candidate solutions which score higher are preferentially selected to producing new candidate solutions through analogs to the biological world processes of reproduction and mutation. This process can be used to derive predictive expressions, models, and algorithms for feature classification. We will illustrate the use of genetic programming for deriving high-level human-readable mathematical expressions for prediction, modeling, and feature classification.

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