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Wolfgang Banzhaf

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On The Nature Of The Phenotype In Tree Genetic Programming

Feb 12, 2024
Wolfgang Banzhaf, Illya Bakurov

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Discovering Adaptable Symbolic Algorithms from Scratch

Jul 31, 2023
Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real

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Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression

Jul 31, 2023
Nathan Haut, Wolfgang Banzhaf, Bill Punch

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Phenotype Search Trajectory Networks for Linear Genetic Programming

Nov 15, 2022
Ting Hu, Gabriela Ochoa, Wolfgang Banzhaf

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An Artificial Chemistry Implementation of a Gene Regulatory Network

Sep 09, 2022
Iliya Miralavy, Wolfgang Banzhaf

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Correlation versus RMSE Loss Functions in Symbolic Regression Tasks

May 31, 2022
Nathan Haut, Wolfgang Banzhaf, Bill Punch

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Genetic Improvement in the Shackleton Framework for Optimizing LLVM Pass Sequences

Apr 28, 2022
Shuyue Stella Li, Hannah Peeler, Andrew N. Sloss, Kenneth N. Reid, Wolfgang Banzhaf

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Iterative Genetic Improvement: Scaling Stochastic Program Synthesis

Feb 26, 2022
Yuan Yuan, Wolfgang Banzhaf

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Active Learning Improves Performance on Symbolic RegressionTasks in StackGP

Feb 09, 2022
Nathan Haut, Wolfgang Banzhaf, Bill Punch

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Using Genetic Programming to Predict and Optimize Protein Function

Feb 08, 2022
Iliya Miralavy, Alexander Bricco, Assaf Gilad, Wolfgang Banzhaf

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