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03/03/2023
Vectorial Genetic Programming – Optimizing Segments for Feature Extraction
Vectorial Genetic Programming (Vec-GP) extends GP by allowing vectors as...
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09/20/2022
Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization
Fast Function Extraction (FFX) is a deterministic algorithm for solving ...
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06/13/2022
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data
Particle-based modeling of materials at atomic scale plays an important ...
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09/28/2021
Cluster Analysis of a Symbolic Regression Search Space
In this chapter we take a closer look at the distribution of symbolic re...
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09/28/2021
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication
Symbolic regression is a powerful system identification technique in ind...
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09/08/2021
Understanding and Preparing Data of Industrial Processes for Machine Learning Applications
Industrial applications of machine learning face unique challenges due t...
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09/08/2021
Preprocessing and Modeling of Radial Fan Data for Health State Prediction
Monitoring critical components of systems is a crucial step towards fail...
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09/01/2021
Complexity Measures for Multi-objective Symbolic Regression
Multi-objective symbolic regression has the advantage that while the acc...
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08/24/2021
On the Effectiveness of Genetic Operations in Symbolic Regression
This paper describes a methodology for analyzing the evolutionary dynami...
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08/24/2021
Data Aggregation for Reducing Training Data in Symbolic Regression
The growing volume of data makes the use of computationally intense mach...
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08/03/2021
Extending a Physics-Based Constitutive Model using Genetic Programming
In material science, models are derived to predict emergent material pro...
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07/29/2021
Contemporary Symbolic Regression Methods and their Relative Performance
Many promising approaches to symbolic regression have been presented in ...
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07/19/2021
Predicting Friction System Performance with Symbolic Regression and Genetic Programming with Factor Variables
Friction systems are mechanical systems wherein friction is used for for...
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07/06/2021
Identification of Dynamical Systems using Symbolic Regression
We describe a method for the identification of models for dynamical syst...
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03/29/2021
Shape-constrained Symbolic Regression – Improving Extrapolation with Prior Knowledge
We investigate the addition of constraints on the function image and its...
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02/03/2019
Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure
Diversity represents an important aspect of genetic programming, being d...
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09/23/2013
Data Mining using Unguided Symbolic Regression on a Blast Furnace Dataset
In this paper a data mining approach for variable selection and knowledg...
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05/16/2013
Evolution of Covariance Functions for Gaussian Process Regression using Genetic Programming
In this contribution we describe an approach to evolve composite covaria...
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12/10/2012