Wolfgang Banzhaf
Affiliations: | Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada |
Area:
Computer Science, Artificial Intelligence, Bioinformatics BiologyGoogle:
"Wolfgang Banzhaf"Parents
Sign in to add mentorHarald Fritzsch | grad student | 1980-1982 | Ludwig Maximilian University Munich (Physics Tree) | |
(M.S.) | ||||
Julius Wess | grad student | 1982-1985 | Karlsruher Institut fuer Technologie, Universitaet Karlsruhe (TH) (Germany) (Physics Tree) | |
(PhD) | ||||
Hermann Haken | post-doc | 1986-1989 | Universität Stuttgart (Physics Tree) |
Children
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Publications
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Recio G, Banzhaf W, White R. (2022) From Dynamics to Novelty: An Agent-Based Model of the Economic System. Artificial Life. 1-38 |
Fernandez de Vega F, Olague G, Lanza D, et al. (2020) Time and Individual Duration in Genetic Programming Ieee Access. 8: 38692-38713 |
Hu T, Tomassini M, Banzhaf W. (2020) A network perspective on genotype–phenotype mapping in genetic programming Genetic Programming and Evolvable Machines. 21: 375-397 |
Chilaka C, Carr S, Shalaby N, et al. (2019) Prediction of normalized signal strength on DNA sequencing microarrays by n-grams within a neural network model. Bioinformation. 15: 388-393 |
Cussat-Blanc S, Harrington K, Banzhaf W. (2018) Artificial Gene Regulatory Networks-A Review. Artificial Life. 24: 296-328 |
Yuan Y, Banzhaf W. (2018) ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming Ieee Transactions On Software Engineering. 1-1 |
Melo VVd, Banzhaf W. (2018) Automatic feature engineering for regression models with machine learning: An evolutionary computation and statistics hybrid Information Sciences. 430: 287-313 |
Chilaka C, Carr S, Shalaby N, et al. (2017) Use of a neural network to predict normalized signal strengths from a DNA-sequencing microarray. Bioinformation. 13: 313-317 |
Melo VVd, Banzhaf W. (2017) Improving the prediction of material properties of concrete using Kaizen Programming with Simulated Annealing Neurocomputing. 246: 25-44 |
Hu T, Banzhaf W, Moore JH. (2014) The effects of recombination on phenotypic exploration and robustness in evolution. Artificial Life. 20: 457-70 |