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The Inefficiency of Genetic Programming for Symbolic Regression --
  Extended Version

The Inefficiency of Genetic Programming for Symbolic Regression -- Extended Version

26 April 2024
G. Kronberger
Fabrício Olivetti de França
Harry Desmond
Deaglan J. Bartlett
Lukas Kammerer
ArXivPDFHTML

Papers citing "The Inefficiency of Genetic Programming for Symbolic Regression -- Extended Version"

8 / 8 papers shown
Title
rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models
rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models
Fabrício Olivetti de França
G. Kronberger
100
1
0
29 Jan 2025
Inexact Simplification of Symbolic Regression Expressions with
  Locality-sensitive Hashing
Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing
Guilherme Seidyo Imai Aldeia
F. O. D. França
William La Cava
54
2
0
08 Apr 2024
On the functional form of the radial acceleration relation
On the functional form of the radial acceleration relation
Harry Desmond
Deaglan J. Bartlett
Pedro G. Ferreira
24
8
0
11 Jan 2023
Transformation-Interaction-Rational Representation for Symbolic
  Regression
Transformation-Interaction-Rational Representation for Symbolic Regression
F. O. França
57
8
0
25 Apr 2022
Hash-Based Tree Similarity and Simplification in Genetic Programming for
  Symbolic Regression
Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression
Bogdan Burlacu
Lukas Kammerer
M. Affenzeller
G. Kronberger
23
8
0
22 Jul 2021
A Bayesian machine scientist to aid in the solution of challenging
  scientific problems
A Bayesian machine scientist to aid in the solution of challenging scientific problems
Roger Guimerà
I. Reichardt
Antoni Aguilar-Mogas
F. Massucci
Manuel Miranda
J. Pallarés
Marta Sales-Pardo
AI4CE
33
115
0
25 Apr 2020
A Review of automatic differentiation and its efficient implementation
A Review of automatic differentiation and its efficient implementation
C. Margossian
52
315
0
12 Nov 2018
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box
  Setting
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
N. Hansen
A. Auger
Raymond Ros
Olaf Mersmann
Tea Tušar
D. Brockhoff
55
424
0
29 Mar 2016
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