Genetic Programming Bibliography entries for Jacob Dean Hochhalter

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GP coauthors/coeditors: Geoffrey F Bomarito, Tyler S Townsend, K M Stewart, K V Esham, John M Emery, Patrick E Leser, Nolan Craig McGee Strauss, Karl Michael Garbrecht, Donovan Birky, Brian Lester, Cooper K Hansen, Gary F Whelan, Hongsup Oh, Roman Amici, Shandian Zhe, Robert Kirby, David L Randall,

Genetic Programming Articles by Jacob Dean Hochhalter

  1. Cooper K. Hansen and Gary F. Whelan and Jacob D. Hochhalter. Interpretable machine learning for microstructure-dependent models of fatigue indicator parameters. International Journal of Fatigue, 178:108019, 2024. details

  2. Karl Garbrecht and Donovan Birky and Brian Lester and John Emery and Jacob Hochhalter. Complementing a continuum thermodynamic approach to constitutive modeling with symbolic regression. Journal of the Mechanics and Physics of Solids, 181:105472, 2023. details

  3. G. F. Bomarito and P. E. Leser and N. C. M. Strauss and K. M. Garbrecht and J. D. Hochhalter. Automated learning of interpretable models with quantified uncertainty. Computer Methods in Applied Mechanics and Engineering, 403:115732, 2023. details

  4. G. F. Bomarito and T. S. Townsend and K. M. Stewart and K. V. Esham and J. M. Emery and J. D. Hochhalter. Development of interpretable, data-driven plasticity models with symbolic regression. Computer \& Structures, 252:106557, 2021. details

Genetic Programming conference papers by Jacob Dean Hochhalter

Genetic Programming other entries for Jacob Dean Hochhalter