David Pätzel

Richard Nordsieck

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Length-niching Selection and Spatial Crossover in Variable-length Evolutionary Rule Set Learning.

[BibT_eX]

[DOI]

Richard Nordsieck

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Measuring Similarities in Model Structure of Metaheuristic Rule Set Learners.

[BibT_eX]

[DOI]

Richard Nordsieck

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

2023

Discovering Rules for Rule-Based Machine Learning with the Help of Novelty Search.

[BibT_eX]

[DOI]

SN Comput. Sci., November, 2023

SupRB in the context of rule-based machine learning methods: A comparative study.

[BibT_eX]

[DOI]

Appl. Soft Comput., November, 2023

Deep Q-Network Updates for the Full Action-Space Utilizing Synthetic Experiences.

[BibT_eX]

[DOI]

Wenzel Pilar von Pilchau

Anthony Stein

Proceedings of the International Joint Conference on Neural Networks, 2023

Towards Principled Synthetic Benchmarks for Explainable Rule Set Learning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Weighted Mutation of Connections To Mitigate Search Space Limitations in Cartesian Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023

2022

Correction: A Learning Classifier System for Automated Test Case Prioritization and Selection.

[BibT_eX]

[DOI]

SN Comput. Sci., 2022

A Learning Classifier System for Automated Test Case Prioritization and Selection.

[BibT_eX]

[DOI]

SN Comput. Sci., 2022

Approaches for Rule Discovery in a Learning Classifier System.

[BibT_eX]

[DOI]

Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

The Bayesian learning classifier system: implementation, replicability, comparison with XCSF.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

An overview of LCS research from 2021 to 2022.

[BibT_eX]

[DOI]

Alexander R. M. Wagner

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

An overview of LCS research from 2020 to 2021.

[BibT_eX]

[DOI]

Alexander R. M. Wagner

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Transfer Learning for Automated Test Case Prioritization Using XCSF.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation, 2021

An Organic Computing System for Automated Testing.

[BibT_eX]

[DOI]

Proceedings of the Architecture of Computing Systems - 34th International Conference, 2021

2020

SupRB: A Supervised Rule-based Learning System for Continuous Problems.

[BibT_eX]

[DOI]

CoRR, 2020

XCSF with Experience Replay for Automatic Test Case Prioritization.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

XCSF for Automatic Test Case Prioritization.

[BibT_eX]

[DOI]

Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

XCS as a reinforcement learning approach to automatic test case prioritization.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

An overview of LCS research from IWLCS 2019 to 2020.

[BibT_eX]

[DOI]

Anthony Stein

Masaya Nakata

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Towards a Pittsburgh-style LCS for learning manufacturing machinery parametrizations.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

A survey of formal theoretical advances regarding XCS.

[BibT_eX]

[DOI]

Anthony Stein

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

An algebraic description of XCS.

[BibT_eX]

[DOI]