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Wolfgang Banzhaf

4 papers hereh-index 61.1k citations23 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.NE2
  • cs.CV1
  • nucl-th1
same name
  • Wolfgang Banzhaf — 9 papers, h 5
  • Wolfgang Banzhaf — 2 papers, h 1
  • Wolfgang Banzhaf — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedGenetic Programming for the Nuclear Many-Body Problem: a Guide

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2026

EvoIQA - Explaining Image Distortions with Evolved White-Box Logic

Ruchika Gupta, Illya Bakurov, Nathan Haut +1

Traditional Image Quality Assessment (IQA) metrics typically fall into one of two extremes: rigid, hand-crafted mathematical models or "black-box" deep learning architectures that…

cs.NE2025

Node Preservation and its Effect on Crossover in Cartesian Genetic Programming

Mark Kocherovsky, Illya Bakurov, Wolfgang Banzhaf

While crossover is a critical and often indispensable component in other forms of Genetic Programming, such as Linear- and Tree-based, it has consistently been claimed that it dete…

nucl-th2024★ 1 cited

Genetic Programming for the Nuclear Many-Body Problem: a Guide

Illya Bakurov, Pablo Giuliani, Kyle Godbey +3

Genetic Programming is an evolutionary algorithm that generates computer programs, or mathematical expressions, to solve complex problems. In this Guide, we demonstrate how to use…

cs.NE2024

On The Nature Of The Phenotype In Tree Genetic Programming

Wolfgang Banzhaf, Illya Bakurov

In this contribution, we discuss the basic concepts of genotypes and phenotypes in tree-based GP (TGP), and then analyze their behavior using five benchmark datasets. We show that…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.