A Performance Analysis of Lexicase-Based and Traditional Selection Methods in GP for Symbolic Regression
Fuente:
arXiv
Saved in:
| Main Authors: | Geiger, Alina, Sobania, Dominik, Rothlauf, Franz |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection
by: Geiger, Alina, et al.
Published: (2025)
by: Geiger, Alina, et al.
Published: (2025)
Transformer Semantic Genetic Programming for Symbolic Regression
by: Anthes, Philipp, et al.
Published: (2025)
by: Anthes, Philipp, et al.
Published: (2025)
ROIDS: Robust Outlier-Aware Informed Down-Sampling
by: Geiger, Alina, et al.
Published: (2026)
by: Geiger, Alina, et al.
Published: (2026)
Transformer Semantic Genetic Programming for d-dimensional Symbolic Regression Problems
by: Anthes, Philipp, et al.
Published: (2025)
by: Anthes, Philipp, et al.
Published: (2025)
Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving
by: Boldi, Ryan, et al.
Published: (2023)
by: Boldi, Ryan, et al.
Published: (2023)
Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
by: Briesch, Martin, et al.
Published: (2023)
by: Briesch, Martin, et al.
Published: (2023)
ComfyGI: Automatic Improvement of Image Generation Workflows
by: Sobania, Dominik, et al.
Published: (2024)
by: Sobania, Dominik, et al.
Published: (2024)
On the Robustness of Lexicase Selection to Contradictory Objectives
by: Shahbandegan, Shakiba, et al.
Published: (2024)
by: Shahbandegan, Shakiba, et al.
Published: (2024)
Lexidate: Model Evaluation and Selection with Lexicase
by: Hernandez, Jose Guadalupe, et al.
Published: (2024)
by: Hernandez, Jose Guadalupe, et al.
Published: (2024)
Reachability Analysis for Lexicase Selection via Community Assembly Graphs
by: Dolson, Emily, et al.
Published: (2023)
by: Dolson, Emily, et al.
Published: (2023)
Simultaneous Model-Based Evolution of Constants and Expression Structure in GP-GOMEA for Symbolic Regression
by: Koch, Johannes, et al.
Published: (2026)
by: Koch, Johannes, et al.
Published: (2026)
Lexicase Selection Parameter Analysis: Varying Population Size and Test Case Redundancy with Diagnostic Metrics
by: Hernandez, Jose Guadalupe, et al.
Published: (2024)
by: Hernandez, Jose Guadalupe, et al.
Published: (2024)
DALex: Lexicase-like Selection via Diverse Aggregation
by: Ni, Andrew, et al.
Published: (2024)
by: Ni, Andrew, et al.
Published: (2024)
Untangling the Effects of Down-Sampling and Selection in Genetic Programming
by: Boldi, Ryan, et al.
Published: (2023)
by: Boldi, Ryan, et al.
Published: (2023)
GP-GOMEA with GPU-Based Fitness Evaluations: Design and Performance Analysis
by: Post, Jasper, et al.
Published: (2026)
by: Post, Jasper, et al.
Published: (2026)
Current Challenges of Symbolic Regression: Optimization, Selection, Model Simplification, and Benchmarking
by: Aldeia, Guilherme Seidyo Imai
Published: (2025)
by: Aldeia, Guilherme Seidyo Imai
Published: (2025)
Diversified Residual Symbolic Regression
by: Ikeda, Koki, et al.
Published: (2026)
by: Ikeda, Koki, et al.
Published: (2026)
Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives
by: Huang, Zhixing, et al.
Published: (2025)
by: Huang, Zhixing, et al.
Published: (2025)
A Functional Analysis Approach to Symbolic Regression
by: Antonov, Kirill, et al.
Published: (2024)
by: Antonov, Kirill, et al.
Published: (2024)
Zobrist Hash-based Duplicate Detection in Symbolic Regression
by: Burlacu, Bogdan
Published: (2025)
by: Burlacu, Bogdan
Published: (2025)
Thinking Outside the Template with Modular GP-GOMEA
by: Harrison, Joe, et al.
Published: (2025)
by: Harrison, Joe, et al.
Published: (2025)
GP and LLMs for Program Synthesis: No Clear Winners
by: Hernandez, Jose Guadalupe, et al.
Published: (2025)
by: Hernandez, Jose Guadalupe, et al.
Published: (2025)
Leveraging Symbolic Regression for Heuristic Design in the Traveling Thief Problem
by: Ni, Andrew, et al.
Published: (2024)
by: Ni, Andrew, et al.
Published: (2024)
GPU-Accelerated Genetic Programming for Symbolic Regression with Beagle Framework
by: Haut, Nathan, et al.
Published: (2026)
by: Haut, Nathan, et al.
Published: (2026)
Prove Symbolic Regression is NP-hard by Symbol Graph
by: Song, Jinglu, et al.
Published: (2024)
by: Song, Jinglu, et al.
Published: (2024)
Improving the efficiency of GP-GOMEA for higher-arity operators
by: Schlender, Thalea, et al.
Published: (2024)
by: Schlender, Thalea, et al.
Published: (2024)
Introns and Templates Matter: Rethinking Linkage in GP-GOMEA
by: Koch, Johannes, et al.
Published: (2026)
by: Koch, Johannes, et al.
Published: (2026)
A Better Multi-Objective GP-GOMEA -- But do we Need it?
by: Harrison, Joe, et al.
Published: (2025)
by: Harrison, Joe, et al.
Published: (2025)
Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regression
by: Rovito, Luigi, et al.
Published: (2025)
by: Rovito, Luigi, et al.
Published: (2025)
[RETRACTED]Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks
by: Bertschinger, Amanda, et al.
Published: (2025)
by: Bertschinger, Amanda, et al.
Published: (2025)
An Imbalanced Dataset with Multiple Feature Representations for Studying Quality Control of Next-Generation Sequencing
by: Röchner, Philipp, et al.
Published: (2026)
by: Röchner, Philipp, et al.
Published: (2026)
On the Generalization Bounds of Symbolic Regression with Genetic Programming
by: Nomura, Masahiro, et al.
Published: (2026)
by: Nomura, Masahiro, et al.
Published: (2026)
TransGP: Task-Conditioned Transformer-Guided Genetic Programming for Multitask Dynamic Flexible Job Shop Scheduling
by: Xu, Meng, et al.
Published: (2026)
by: Xu, Meng, et al.
Published: (2026)
Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression
by: Kubalík, Jiří, et al.
Published: (2025)
by: Kubalík, Jiří, et al.
Published: (2025)
Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing
by: Aldeia, Guilherme Seidyo Imai, et al.
Published: (2024)
by: Aldeia, Guilherme Seidyo Imai, et al.
Published: (2024)
StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis
by: Hernandez, Jose Guadalupe, et al.
Published: (2025)
by: Hernandez, Jose Guadalupe, et al.
Published: (2025)
FOXANN: A Method for Boosting Neural Network Performance
by: Jumaah, Mahmood A., et al.
Published: (2024)
by: Jumaah, Mahmood A., et al.
Published: (2024)
Data-Informed Model Complexity Metric for Optimizing Symbolic Regression Models
by: Haut, Nathan, et al.
Published: (2025)
by: Haut, Nathan, et al.
Published: (2025)
LLM-Meta-SR: In-Context Learning for Evolving Selection Operators in Symbolic Regression
by: Zhang, Hengzhe, et al.
Published: (2025)
by: Zhang, Hengzhe, et al.
Published: (2025)
Symbolic Quantile Regression for the Interpretable Prediction of Conditional Quantiles
by: Hoekstra, Cas Oude, et al.
Published: (2025)
by: Hoekstra, Cas Oude, et al.
Published: (2025)
Similar Items
-
Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection
by: Geiger, Alina, et al.
Published: (2025) -
Transformer Semantic Genetic Programming for Symbolic Regression
by: Anthes, Philipp, et al.
Published: (2025) -
ROIDS: Robust Outlier-Aware Informed Down-Sampling
by: Geiger, Alina, et al.
Published: (2026) -
Transformer Semantic Genetic Programming for d-dimensional Symbolic Regression Problems
by: Anthes, Philipp, et al.
Published: (2025) -
Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving
by: Boldi, Ryan, et al.
Published: (2023)