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On improving grammatical evolution performance in symbolic regression with attribute grammar
Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion - GECCO Comp '14
◽
10.1145/2598394.2598488
◽
2014
◽
Cited By ~ 1
Author(s):
Muhammad Rezaul Karim
◽
Conor Ryan
Keyword(s):
Symbolic Regression
◽
Grammatical Evolution
◽
Attribute Grammar
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References
Grammatical evolution using two-dimensional gene for symbolic regression: an advanced improvement with conditional statement grammar
International Journal of Computational Intelligence Studies
◽
10.1504/ijcistudies.2016.10004364
◽
2016
◽
Vol 5
(3/4)
◽
pp. 237
Author(s):
Yi Zuo
◽
Eisuke Kita
◽
Masahiro Nagao
◽
Hideyuki Sugiura
Keyword(s):
Symbolic Regression
◽
Grammatical Evolution
◽
Two Dimensional
◽
Conditional Statement
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Improvement of Individual Definition in Grammatical Evolution of Symbolic Regression Problem
TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C
◽
10.1299/kikaic.79.3939
◽
2013
◽
Vol 79
(806)
◽
pp. 3939-3950
Author(s):
Hideyuki SUGIURA
◽
Yukiko WAKITA
◽
Eisuke KITA
Keyword(s):
Symbolic Regression
◽
Grammatical Evolution
◽
Regression Problem
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Grammatical evolution using two-dimensional gene for symbolic regression: an advanced improvement with conditional statement grammar
International Journal of Computational Intelligence Studies
◽
10.1504/ijcistudies.2016.083572
◽
2016
◽
Vol 5
(3/4)
◽
pp. 237
Author(s):
Hideyuki Sugiura
◽
Masahiro Nagao
◽
Yi Zuo
◽
Eisuke Kita
Keyword(s):
Symbolic Regression
◽
Grammatical Evolution
◽
Two Dimensional
◽
Conditional Statement
Download Full-text
Symbolic Regression by Means of Grammatical Evolution with Estimation Distribution Algorithms as Search Engine
Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications - Studies in Computational Intelligence
◽
10.1007/978-3-319-71008-2_14
◽
2018
◽
pp. 169-177
◽
Cited By ~ 2
Author(s):
M. A. Sotelo-Figueroa
◽
Arturo Hernández-Aguirre
◽
Andrés Espinal
◽
J. A. Soria-Alcaraz
◽
Janet Ortiz-López
Keyword(s):
Search Engine
◽
Symbolic Regression
◽
Grammatical Evolution
◽
Distribution Algorithms
Download Full-text
Towards Automatic Grammatical Evolution for Real-world Symbolic Regression
10.5220/0010691500003063
◽
2021
◽
Author(s):
Muhammad Ali
◽
Meghana Kshirsagar
◽
Enrique Naredo
◽
Conor Ryan
Keyword(s):
Real World
◽
Symbolic Regression
◽
Grammatical Evolution
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Multilayer analysis of population diversity in grammatical evolution for symbolic regression
Soft Computing
◽
10.1007/s00500-020-05062-9
◽
2020
◽
Vol 24
(15)
◽
pp. 11283-11295
Author(s):
Gabriel Kronberger
◽
J. Manuel Colmenar
◽
Stephan M. Winkler
◽
J. Ignacio Hidalgo
Keyword(s):
Symbolic Regression
◽
Population Diversity
◽
Grammatical Evolution
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Application of Symbolic Regression for Constitutive Modeling of Plastic Deformation
Applications in Engineering Science
◽
10.1016/j.apples.2021.100052
◽
2021
◽
pp. 100052
Author(s):
Evgeniya Kabliman
◽
Ana Helena Kolody
◽
Johannes Kronsteiner
◽
Michael Kommenda
◽
Gabriel Kronberger
Keyword(s):
Plastic Deformation
◽
Constitutive Modeling
◽
Symbolic Regression
Download Full-text
Improving symbolic regression based on correlation between residuals and variables
Proceedings of the 2020 Genetic and Evolutionary Computation Conference
◽
10.1145/3377930.3390161
◽
2020
◽
Author(s):
Qi Chen
◽
Bing Xue
◽
Mengjie Zhang
Keyword(s):
Symbolic Regression
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A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data
Soft Computing
◽
10.1007/s00500-021-05590-y
◽
2021
◽
Author(s):
Baligh Al-Helali
◽
Qi Chen
◽
Bing Xue
◽
Mengjie Zhang
Keyword(s):
Genetic Programming
◽
Incomplete Data
◽
Symbolic Regression
◽
Imputation Method
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Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation
Proceedings of the Genetic and Evolutionary Computation Conference Companion
◽
10.1145/3449726.3459461
◽
2021
◽
Author(s):
Christian Raymond
◽
Qi Chen
◽
Bing Xue
◽
Mengjie Zhang
Keyword(s):
Genetic Programming
◽
Symbolic Regression
◽
Multi Objective
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