Wolfgang Banzhaf

Wolfgang Banzhaf

Michigan State University

H-index: 63

North America-United States

About Wolfgang Banzhaf

Wolfgang Banzhaf, With an exceptional h-index of 63 and a recent h-index of 27 (since 2020), a distinguished researcher at Michigan State University, specializes in the field of Bio-inspired Computing, Artificial Chemistry, Artificial Life, Complex Adaptive Systems, Genetic Programming.

His recent articles reflect a diverse array of research interests and contributions to the field:

Accelerating Image Analysis Research with Active Learning Techniques in Genetic Programming

Computational peptide discovery with a genetic programming approach

How the Combinatorics of Neutral Spaces Leads Genetic Programming to Discover Simple Solutions

Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling

On The Nature Of The Phenotype In Tree Genetic Programming

A geometric semantic macro-crossover operator for evolutionary feature construction in regression

Fundamentals of Evolutionary Machine Learning

Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression

Wolfgang Banzhaf Information

University

Position

Koza Chair in Genetic Programming USA

Citations(all)

20216

Citations(since 2020)

4799

Cited By

16962

hIndex(all)

63

hIndex(since 2020)

27

i10Index(all)

221

i10Index(since 2020)

76

Email

University Profile Page

Michigan State University

Google Scholar

View Google Scholar Profile

Wolfgang Banzhaf Skills & Research Interests

Bio-inspired Computing

Artificial Chemistry

Artificial Life

Complex Adaptive Systems

Genetic Programming

Top articles of Wolfgang Banzhaf

Title

Journal

Author(s)

Publication Date

Accelerating Image Analysis Research with Active Learning Techniques in Genetic Programming

Nathan Haut

Wolfgang Banzhaf

Bill Punch

Dirk Colbry

2024/2/18

Computational peptide discovery with a genetic programming approach

Journal of Computer-Aided Molecular Design

Nicolas Scalzitti

Iliya Miralavy

David E Korenchan

Christian T Farrar

Assaf A Gilad

...

2024/12

How the Combinatorics of Neutral Spaces Leads Genetic Programming to Discover Simple Solutions

Wolfgang Banzhaf

Ting Hu

Gabriela Ochoa

2024/2/18

Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling

Genetic Programming and Evolvable Machines

Zhixing Huang

Yi Mei

Fangfang Zhang

Mengjie Zhang

Wolfgang Banzhaf

2024/6

On The Nature Of The Phenotype In Tree Genetic Programming

arXiv preprint arXiv:2402.08011

Wolfgang Banzhaf

Illya Bakurov

2024/2/12

A geometric semantic macro-crossover operator for evolutionary feature construction in regression

Genetic Programming and Evolvable Machines

Hengzhe Zhang

Qi Chen

Bing Xue

Wolfgang Banzhaf

Mengjie Zhang

2024/6

Fundamentals of Evolutionary Machine Learning

Wolfgang Banzhaf

Penousal Machado

2024

Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression

Hengzhe Zhang

Qi Chen

Bing Xue

Wolfgang Banzhaf

Mengjie Zhang

2024/3/28

Handbook of Evolutionary Machine Learning

Wolfgang Banzhaf

Penousal Machado

Mengjie Zhang

2024

A Spatial Artificial Chemistry Implementation of a Gene Regulatory Network Aimed at Generating Protein Concentration Dynamics

Artificial Life

Iliya Miralavy

Wolfgang Banzhaf

2024/2/28

A genetic programming approach to engineering MRI reporter genes

ACS Synthetic Biology

Alexander R Bricco

Iliya Miralavy

Shaowei Bo

Or Perlman

David E Korenchan

...

2023/3/22

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

Hengzhe Zhang

Qi Chen

Bing Xue

Wolfgang Banzhaf

Mengjie Zhang

2023/7/15

Modular Multi-Tree Genetic Programming for Evolutionary Feature Construction for Regression

IEEE Transactions on Evolutionary Computation

Hengzhe Zhang

Qi Chen

Bing Xue

Wolfgang Banzhaf

Mengjie Zhang

2023/9/25

Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction

Hengzhe Zhang

Qi Chen

Bing Xue

Wolfgang Banzhaf

Mengjie Zhang

2023/11/10

Correlation Versus RMSE Loss Functions in Symbolic Regression Tasks

Nathan Haut

Wolfgang Banzhaf

Bill Punch

2023/3/12

Moaz: A multi-objective automl-zero framework

Ritam Guha

Wei Ao

Stephen Kelly

Vishnu Boddeti

Erik Goodman

...

2023/7/15

Iterative genetic improvement: Scaling stochastic program synthesis

Artificial Intelligence

Yuan Yuan

Wolfgang Banzhaf

2023/9/1

A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression

IEEE Transactions on Evolutionary Computation

Hengzhe Zhang

Qi Chen

Bing Xue

Wolfgang Banzhaf

Mengjie Zhang

2023/11/8

Genetic Programming Theory and Practice XIX

Leonardo Trujillo

Stephan M Winkler

Sara Silva

Wolfgang Banzhaf

2023/3/11

Spatial Genetic Programming

Iliya Miralavy

Wolfgang Banzhaf

2023/3/29

See List of Professors in Wolfgang Banzhaf University(Michigan State University)

Co-Authors

H-index: 138
Kalyanmoy Deb

Kalyanmoy Deb

Michigan State University

H-index: 59
w b langdon

w b langdon

University College London

H-index: 50
Lee Spector

Lee Spector

Hampshire College

H-index: 45
James A. Foster

James A. Foster

University of Idaho

H-index: 34
André Leier

André Leier

University of Alabama at Birmingham

H-index: 33
Peter Dittrich

Peter Dittrich

Friedrich-Schiller-Universität Jena

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