A Comprehensive Analysis of Down-sampling for Genetic Programming-based Program Synthesis-Reference-Cited by-同舟云学术

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A Comprehensive Analysis of Down-sampling for Genetic Programming-based Program Synthesis

Published:2024-07-14 Issue: Volume: Page:487-490
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
language:
Short-container-title:

Author:

Boldi Ryan¹^ORCID,Bao Ashley²^ORCID,Briesch Martin³^ORCID,Helmuth Thomas⁴^ORCID,Sobania Dominik³^ORCID,Spector Lee²^ORCID,Lalejini Alexander⁵^ORCID

Affiliation:

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

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

3. Johannes Gutenberg-Universität, Mainz, Germany

4. Hamilton College, Clinton, New York, United States of America

5. Grand Valley State University, Allendale, Michigan, United States of America

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3638530.3654134

Reference24 articles.

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

2. Ryan Boldi, Martin Briesch, Dominik Sobania, Alexander Lalejini, Thomas Helmuth, Franz Rothlauf, Charles Ofria, and Lee Spector. 2024. Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving. Evolutionary Computation (2024), 1--32.

3. Ryan Boldi Thomas Helmuth and Lee Spector. 2022. The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase Selection. 10.48550/arxiv.2205.15931

4. A Static Analysis of Informed Down-Samples

5. On the Trade-Off between Population Size and Number of Generations in GP for Program Synthesis

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