2026 Wolfgang Banzhaf: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	65	2413	2338	1206	1161	352	23295

Overview

Wolfgang Banzhaf is affiliated with Michigan State University in the United States. Their research primarily spans areas within computer science and biochemistry, genetics, and molecular biology.

The scientist's work covers a range of subfields including:

Artificial Intelligence
Molecular Biology
Software
Genetics
Computational Theory and Mathematics

The main topics of Wolfgang Banzhaf's research include:

Evolutionary Algorithms and Applications
Metaheuristic Optimization Algorithms Research
Reinforcement Learning in Robotics
Machine Learning and Data Classification
Advanced Multi-Objective Optimization Algorithms
Software Engineering Research
Evolution and Genetic Dynamics

Recent papers authored or co-authored by Banzhaf include:

"Evolutionary Machine Learning: A Survey" (2021), published in ACM Computing Surveys
"Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification" (2020), IEEE Transactions on Evolutionary Computation
"Neural Architecture Transfer" (2021), IEEE Transactions on Pattern Analysis and Machine Intelligence
"Expensive Multiobjective Evolutionary Optimization Assisted by Dominance Prediction" (2021), IEEE Transactions on Evolutionary Computation
"Toward Better Evolutionary Program Repair" (2020), ACM Transactions on Software Engineering and Methodology

Frequent co-authors collaborating with Wolfgang Banzhaf include:

Mengjie Zhang
Hengzhe Zhang
Qi Chen
Bing Xue
Iliya Miralavy

Wolfgang Banzhaf has published extensively in several venues, among the most frequent are:

arXiv (Cornell University)
Proceedings of the Genetic and Evolutionary Computation Conference Companion
IEEE Transactions on Evolutionary Computation
Genetic Programming and Evolvable Machines
Proceedings of the Genetic and Evolutionary Computation Conference

Books published through Springer Nature include:

Handbook of Evolutionary Machine Learning (2023)
Genetic Programming Theory and Practice XVII (2020)
Evolution in Action: Past, Present and Future (2020)
Genetic Programming Theory and Practice XVIII (2022)

Best Publications

Genetic programming - An Introduction: On the Automatic Evolution of Computer Programs and Its Applications

Wolfgang Banzhaf;Frank D. Francone;Robert E. Keller;Peter Nordin

3892
Citations
Genetic Programming: An Introduction

Wolfgang Banzhaf;Robert E. Keller;Peter Nordin

1545
Citations
Genetic and Evolutionary Computation - GECCO 2004

K. Deb;R. Poli;W. Banzhaf;H-G. Beyer

1445
Citations
Review: The use of computational intelligence in intrusion detection systems: A review

Shelly Xiaonan Wu;Wolfgang Banzhaf

969
Citations
A comparison of linear genetic programming and neural networks in medical data mining

M. Brameier;W. Banzhaf

644
Citations
Linear Genetic Programming

Markus F. Brameier;Wolfgang Banzhaf

635
Citations
Artificial chemistries—a review

Peter Dittrich;Jens Ziegler;Wolfgang Banzhaf

628
Citations
NSGA-Net: neural architecture search using multi-objective genetic algorithm

Zhichao Lu;Ian Whalen;Vishnu Boddeti;Yashesh Dhebar

554
Citations
Cryptography with DNA binary strands

André Leier;Christoph Richter;Wolfgang Banzhaf;Hilmar Rauhe

373
Citations
Complexity Compression and Evolution

Peter Nordin;Wolfgang Banzhaf

355
Citations
Explicitly defined introns and destructive crossover in genetic programming

Peter Nordin;Frank Francone;Wolfgang Banzhaf

327
Citations
Open issues in genetic programming

Michael O'Neill;Leonardo Vanneschi;Steven Gustafson;Wolfgang Banzhaf

278
Citations
The “molecular” traveling salesman

W. Banzhaf

271
Citations
Genotype-Phenotype-Mapping and Neutral Variation - A Case Study in Genetic Programming

Wolfgang Banzhaf

264
Citations
ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming

Yuan Yuan;Wolfgang Banzhaf

236
Citations
Computer implemented machine learning method and system including specifically defined introns

Frank D. Francone;Peter Nordin;Wolfgang Banzhaf

220
Citations
Genetic Programming 1998: Proceedings of the Third Annual Conference

J.R. Koza;W. Banzhaf;K. Chellapilla;K. Deb

198
Citations
Evolutionary Machine Learning: A Survey

Akbar Telikani;Amirhessam Tahmassebi;Wolfgang Banzhaf;Amir H. Gandomi

194
Citations
Fast genetic programming on GPUs

Simon Harding;Wolfgang Banzhaf

184
Citations
A SIMD interpreter for genetic programming on GPU graphics cards

W. B. Langdon;Wolfgang Banzhaf

179
Citations
An on-line method to evolve behavior and to control a miniature robot in real time with genetic programming

Peter Nordin;Wolfgang Banzhaf

174
Citations
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification

Zhichao Lu;Ian Whalen;Yashesh Dhebar;Kalyanmoy Deb

166
Citations

Frequent Co-Authors

Julian F. Miller University of York

Kalyanmoy Deb Michigan State University

Erik D. Goodman Michigan State University

William B. Langdon University College London

André Leier University of Alabama at Birmingham

Riccardo Poli University of Essex

Jason H. Moore University of Pennsylvania

Charles Ofria Michigan State University

Marc Schoenauer French Institute for Research in Computer Science and Automation - INRIA

Hermann Haken University of Stuttgart

External Links

Personal website of Wolfgang Banzhaf Google Scholar page

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