All Stories

  1. Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression

    Article • July 2024, ACM (Association for Computing Machinery)

    Hengzhe Zhang, Wolfgang Banzhaf

  2. On the Nature of the Phenotype in Tree Genetic Programming

    Article • July 2024, ACM (Association for Computing Machinery)

    Wolfgang Banzhaf

  3. Dynamically Sampling biomedical Images For Genetic Programming

    Article • July 2024, ACM (Association for Computing Machinery)

    Yuri Lavinas, Wolfgang Banzhaf, SYLVAIN CUSSAT-BLANC

  4. Accelerating GP Genome Evaluation Through Real Compilation with a Multiple Program Single Data Approach

    Article • July 2024, ACM (Association for Computing Machinery)

    Wolfgang Banzhaf

  5. LLM Fault Localisation within Evolutionary Computation Based Automated Program Repair

    Article • July 2024, ACM (Association for Computing Machinery)

    Wolfgang Banzhaf

  6. A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]

    Article • July 2024, ACM (Association for Computing Machinery)

    Hengzhe Zhang, Wolfgang Banzhaf

  7. Linear Genetic Programming

    Article • July 2024, ACM (Association for Computing Machinery)

    Wolfgang Banzhaf

  8. Active Learning Informs Symbolic Regression Model Development in Genetic Programming

    Article • July 2023, ACM (Association for Computing Machinery)

    Wolfgang Banzhaf

  9. MOAZ: A Multi-Objective AutoML-Zero Framework

    Article • July 2023, ACM (Association for Computing Machinery)

    Wolfgang Banzhaf, Kalyanmoy Deb

  10. A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression

    Article • July 2023, ACM (Association for Computing Machinery)

    Wolfgang Banzhaf, Hengzhe Zhang

  11. Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling

    Article • July 2023, ACM (Association for Computing Machinery)

    Wolfgang Banzhaf

  12. Evolutionary Machine Learning: A Survey

    Article • ACM Computing Surveys, November 2022, ACM (Association for Computing Machinery)

    Wolfgang Banzhaf, Professor Amir H Gandomi

  13. Optimizing LLVM pass sequences with shackleton

    Article • July 2022, ACM (Association for Computing Machinery)

    Dr. Kenneth Neil Reid, Wolfgang Banzhaf

  14. Genetic improvement in the shackleton framework for optimizing LLVM pass sequences

    Article • July 2022, ACM (Association for Computing Machinery)

    Dr. Kenneth Neil Reid, Wolfgang Banzhaf

  15. The effects of taxes on wealth inequality in Artificial Chemistry models of economic activity

    Article • PLoS ONE, August 2021, PLOS

    Wolfgang Banzhaf

  16. A modular memory framework for time series prediction

    Article • June 2020, ACM (Association for Computing Machinery)

    Wolfgang Banzhaf

  17. Program Repair with Genetic Programming

    Article • ACM Transactions on Software Engineering and Methodology, February 2020, ACM (Association for Computing Machinery)

    Wolfgang Banzhaf

  18. A survey paper on artificial gene regulatory networks

    Article • Artificial Life, March 2019, The MIT Press

    SYLVAIN CUSSAT-BLANC, Wolfgang Banzhaf

  19. Learning an evolvable genotype-phenotype mapping

    Article • July 2018, ACM (Association for Computing Machinery)

    Dr. Charles Ofria, Wolfgang Banzhaf

  20. Introduction to Gene Regulatory Networks

    Article • July 2015, ACM (Association for Computing Machinery)

    SYLVAIN CUSSAT-BLANC, Wolfgang Banzhaf