Symbolic regression is a type of regression analysis that searches the space of mathematical expressions to find the model that best fits a givenâ€¦Â (More)

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2013

2013

- Ilknur Icke, Josh C. Bongard
- 2013 IEEE Congress on Evolutionary Computation
- 2013

Symbolic regression (SR) is a well studied method in genetic programming (GP) for discovering free-form mathematical models fromâ€¦Â (More)

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2012

Highly Cited

2012

- Dervis Karaboga, Celal Ozturk, Nurhan Karaboga, Beyza GÃ¶rkemli
- Inf. Sci.
- 2012

Artificial bee colony algorithm simulating the intelligent foraging behavior of honey bee swarms is one of the most popular swarmâ€¦Â (More)

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2011

2011

- Vipul K. Dabhi, Sanjay K. Vij
- 2011 International Conference on Imageâ€¦
- 2011

Developing mathematical model of a process or system from experimental data is known as empirical modeling. Traditionalâ€¦Â (More)

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2010

Highly Cited

2010

- Nguyen Quang Uy, Nguyen Xuan Hoai, Michael O'Neill, Robert I. McKay, Edgar GalvÃ¡n LÃ³pez
- Genetic Programming and Evolvable Machines
- 2010

We investigate the effects of semantically-based crossover operators in genetic programming, applied to real-valued symbolicâ€¦Â (More)

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2010

2010

- Cassio Pennachin, Moshe Looks, JoÃ£o A. Vasconcelos
- GECCO
- 2010

We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regressionâ€¦Â (More)

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2009

Highly Cited

2009

- Ekaterina Vladislavleva, Guido Smits, Dick den Hertog
- IEEE Transactions on Evolutionary Computation
- 2009

This paper presents a novel approach to generate data-driven regression models that not only give reliable prediction of theâ€¦Â (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 anâ€¦Â (More)

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2006

2006

We describe a methodology that uses symbolic regression to extract correlations from heat transfer measurements by searching forâ€¦Â (More)

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2005

Highly Cited

2005

- Guido F. Smits, Mark E. Kotanchek
- 2005

Symbolic regression via genetic programming (hereafter, referred to simply as symbolic regression) has proven to be a veryâ€¦Â (More)

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2005

2005

- Steven M. Gustafson, Edmund K. Burke, Natalio Krasnogor
- 2005 IEEE Congress on Evolutionary Computation
- 2005

This paper reports an improvement to genetic programming (GP) search for the symbolic regression domain, based on an analysis ofâ€¦Â (More)

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