Going faster and hence further with lexicase selection

Author:

Ding Li1,Boldi Ryan1,Helmuth Thomas2,Spector Lee1

Affiliation:

1. University of Massachusetts Amherst

2. Hamilton College

Funder

NSF (National Science Foundation)

Publisher

ACM

Reference17 articles.

1. Lexicase selection in learning classifier systems

2. Li Ding and Lee Spector . 2022 . Optimizing Neural Networks with Gradient Lexicase Selection. In International Conference on Learning Representations. https://openreview.net/forum?id=J_2xNmVcY4 Li Ding and Lee Spector. 2022. Optimizing Neural Networks with Gradient Lexicase Selection. In International Conference on Learning Representations. https://openreview.net/forum?id=J_2xNmVcY4

3. Thomas Helmuth , Nicholas Freitag McPhee, and Lee Spector . 2016 . Lexicase selection for program synthesis: a diversity analysis. In Genetic Programming Theory and Practice XIII. Springer , 151--167. Thomas Helmuth, Nicholas Freitag McPhee, and Lee Spector. 2016. Lexicase selection for program synthesis: a diversity analysis. In Genetic Programming Theory and Practice XIII. Springer, 151--167.

4. General Program Synthesis Benchmark Suite

5. Solving Uncompromising Problems With Lexicase Selection

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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

2. Particularity;Genetic and Evolutionary Computation;2024

3. Probabilistic Lexicase Selection;Proceedings of the Genetic and Evolutionary Computation Conference;2023-07-12

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