Probabilistic Lexicase Selection

Author:

Ding Li1ORCID,Pantridge Edward2ORCID,Spector Lee31ORCID

Affiliation:

1. University of Massachusetts Amherst, Amherst, United States of America

2. Swoop, Cambridge, United States of America

3. Amherst College, Amherst, United States of America

Publisher

ACM

Reference48 articles.

1. Lexicase selection in learning classifier systems

2. James Edward Baker . 2014 . Adaptive selection methods for genetic algorithms . In Proceedings of the first international conference on genetic algorithms and their applications. Psychology Press, 101--106 . James Edward Baker. 2014. Adaptive selection methods for genetic algorithms. In Proceedings of the first international conference on genetic algorithms and their applications. Psychology Press, 101--106.

3. James E Baker et al. 1987. Reducing bias and inefficiency in the selection algorithm . In Proceedings of the second international conference on genetic algorithms , Vol. 206 . 14--21. James E Baker et al. 1987. Reducing bias and inefficiency in the selection algorithm. In Proceedings of the second international conference on genetic algorithms, Vol. 206. 14--21.

4. Ryan Boldi , Martin Briesch , Dominik Sobania , Alexander Lalejini , Thomas Helmuth , Franz Rothlauf , Charles Ofria , and Lee Spector . 2023. Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving. arXiv preprint arXiv:2301.01488 ( 2023 ). Ryan Boldi, Martin Briesch, Dominik Sobania, Alexander Lalejini, Thomas Helmuth, Franz Rothlauf, Charles Ofria, and Lee Spector. 2023. Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving. arXiv preprint arXiv:2301.01488 (2023).

5. Batch tournament selection for genetic programming

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1. Minimum variance threshold for epsilon-lexicase selection;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

2. Facilitating Function Application in Code Building Genetic Programming;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

3. A Comprehensive Comparison of Lexicase-Based Selection Methods for Symbolic Regression Problems;Lecture Notes in Computer Science;2024

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