Jose Guadalupe Hernandez

Orcid: 0000-0002-1298-5551

According to our database1, Jose Guadalupe Hernandez authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Lexicase Selection Parameter Analysis: Varying Population Size and Test Case Redundancy with Diagnostic Metrics.
CoRR, 2024

Lexidate: Model Evaluation and Selection with Lexicase.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
Phylogeny-informed fitness estimation.
CoRR, 2023

Phylogeny-Informed Fitness Estimation for Test-Based Parent Selection.
Proceedings of the Genetic Programming Theory and Practice XX [GPTP 2023], 2023

2022
A suite of diagnostic metrics for characterizing selection schemes.
CoRR, 2022

Untangling phylogenetic diversity's role in evolutionary computation using a suite of diagnostic fitness landscapes.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Measuring the ability of lexicase selection to find obscure pathways to optimality.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Phylogenetic diversity predicts future success in evolutionary computation.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
An Exploration of Exploration: Measuring the Ability of Lexicase Selection to Find Obscure Pathways to Optimality.
Proceedings of the Genetic Programming Theory and Practice XVIII [GPTP 2021]., 2021

What Can Phylogenetic Metrics Tell us About Useful Diversity in Evolutionary Algorithms?
Proceedings of the Genetic Programming Theory and Practice XVIII [GPTP 2021]., 2021

2019
Characterizing the Effects of Random Subsampling on Lexicase Selection.
Proceedings of the Genetic Programming Theory and Practice XVII [GPTP 2019, 2019

Random subsampling improves performance in lexicase selection.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019


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