The Problem Solving Benefits of Down-sampling Vary by Selection Scheme-Reference-Cited by-同舟云学术

The Problem Solving Benefits of Down-sampling Vary by Selection Scheme

Published:2023-07-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Companion Conference on Genetic and Evolutionary Computation
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Author:

Boldi Ryan¹^ORCID,Bao Ashley²^ORCID,Briesch Martin³^ORCID,Helmuth Thomas⁴^ORCID,Sobania Dominik³^ORCID,Spector Lee²¹^ORCID,Lalejini Alexander⁵^ORCID

Affiliation:

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

2. Amherst College, Amherst, MA, United States of America

3. Johannes Gutenberg-Universität, Mainz, Germany

4. Hamilton College, Clinton, NY, United States of America

5. Grand Valley State University, Grand Rapids, United States of America

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583133.3590713

Reference20 articles.

1. Ryan Boldi , Thomas Helmuth , and Lee Spector . 2022 . The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase Selection. In 2022 Conference on Artificial Life - Why it Didn't Work-Shop. arXiv:2205 .15931 Ryan Boldi, Thomas Helmuth, and Lee Spector. 2022. The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase Selection. In 2022 Conference on Artificial Life - Why it Didn't Work-Shop. arXiv:2205.15931

2. Handbook of Evolutionary Computation

3. Ecological theory provides insights about evolutionary computation

4. Characterizing the Effects of Random Subsampling on Lexicase Selection

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