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Wolfgang Banzhaf
PeerJ Editor, Author & Reviewer
620 Points

Contributions by role

Author 135
Preprint Author 35
Reviewer 15
Editor 435

Contributions by subject area

Theoretical and Computational Chemistry
Biophysical Chemistry
Computational Biology
Adaptive and Self-Organizing Systems
Data Mining and Machine Learning
Theory and Formal Methods
Artificial Intelligence
Distributed and Parallel Computing
Computer Networks and Communications
Emerging Technologies
Optimization Theory and Computation
Autonomous Systems
Operating Systems
Algorithms and Analysis of Algorithms
Network Science and Online Social Networks

Wolfgang Banzhaf

PeerJ Editor, Author & Reviewer

Summary

Wolfgang Banzhaf is the John R. Koza Chair in Genetic Programming at the Department of Computer Science and Engineering at Michigan State University and an Honorary University Research Professor at Memorial University of Newfoundland. He received a "Diplom in Physik" degree in Physics from the LMU Munich and his Dr.rer.nat (PhD) from the Dept. of Physics of the TH Karlsruhe, now KIT. After a postdoc at the U. of Stuttgart, he was a Visiting and Senior Researcher at the Central Research Lab of Mitsubishi Electric in Japan and at MERL in Cambridge, USA. From 1993 to 2003 he was Associate Professor for Applied Computer Science at TU Dortmund.

Adaptive & Self-Organizing Systems Artificial Intelligence Autonomous Systems Data Mining & Machine Learning Emerging Technologies Evolutionary Studies Network Science & Online Social Networks Optimization Theory & Computation

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

Memorial University of Newfoundland
Michigan State University

Work details

John R Koza Chair in Genetic Programming

Michigan State University
Department of Computer Science and Engineering

Honorary University Research Professor

Memorial University of Newfoundland
Department of Computer Science

Websites

  • Google Scholar
  • Former Website
  • Current Website

PeerJ Contributions

  • Articles 1
  • Preprints 1
  • Edited 3
September 21, 2022
Using genetic programming to predict and optimize protein function
Iliya Miralavy, Alexander R. Bricco, Assaf A. Gilad, Wolfgang Banzhaf
https://doi.org/10.7717/peerj-pchem.24
November 2, 2018 - Version: 1
Ecological theory provides insights about evolutionary computation
Emily L Dolson, Wolfgang Banzhaf, Charles Ofria
https://doi.org/10.7287/peerj.preprints.27315v1

Academic Editor on

May 25, 2021
An analysis of the locality of binary representations in genetic and evolutionary algorithms
Hrishee Shastri, Eitan Frachtenberg
https://doi.org/10.7717/peerj-cs.561
May 5, 2021
Assessing anthropogenic heat flux of public cloud data centers: current and future trends
Hamza Baniata, Sami Mahmood, Attila Kertesz
https://doi.org/10.7717/peerj-cs.478
February 24, 2016
Decomposed multi-objective bin-packing for virtual machine consolidation
Eli M. Dow
https://doi.org/10.7717/peerj-cs.47