Symbolic regression

Symbolic regression is a type of regression analysis that searches the space of mathematical expressions to find the model that best fits a given… (More)
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1985-2018
020406019852018

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2013
2013
Symbolic regression (SR) is a well studied method in genetic programming (GP) for discovering free-form mathematical models from… (More)
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Highly Cited
2012
Highly Cited
2012
Artificial bee colony algorithm simulating the intelligent foraging behavior of honey bee swarms is one of the most popular swarm… (More)
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2011
2011
Developing mathematical model of a process or system from experimental data is known as empirical modeling. Traditional… (More)
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Highly Cited
2010
Highly Cited
2010
We investigate the effects of semantically-based crossover operators in genetic programming, applied to real-valued symbolic… (More)
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2010
2010
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression… (More)
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Highly Cited
2009
Highly Cited
2009
This paper presents a novel approach to generate data-driven regression models that not only give reliable prediction of the… (More)
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2009
2009
Traditional Symbolic Regression applications are a form of supervised learning, where a label y is provided for every ~x and an… (More)
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2006
2006
We describe a methodology that uses symbolic regression to extract correlations from heat transfer measurements by searching for… (More)
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Highly Cited
2005
Highly Cited
2005
Symbolic regression via genetic programming (hereafter, referred to simply as symbolic regression) has proven to be a very… (More)
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2005
2005
This paper reports an improvement to genetic programming (GP) search for the symbolic regression domain, based on an analysis of… (More)
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