Hans-Georg Beyer
Scholar

Hans-Georg Beyer

Google Scholar ID: WHjIHV4AAAAJ
Professor, Vorarlberg University of Applied Sciences
Citations & Impact
All-time
Citations
4,470
 
H-index
22
 
i10-index
44
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Editor-in-Chief (EiC) of Journal Evolutionary Computation, MIT-Press, from 2010 to 2016. Associate Editor of IEEE Transactions on Evolutionary Computation from 1997 to 2021. Member of the ACM Special Interest Group for Genetic and Evolutionary Computation. Author of the Springer book 'The Theory of Evolution Strategies' and numerous journal and conference papers. Some latest publications include 'Optimal Restart Strategies for Parameter-dependent Optimization Algorithms' together with L. Schönenberger.
Research Experience
  • Served as a research professor at the Research Center Business Informatics of the Vorarlberg University of Applied Sciences. Involved in several projects such as ECDF-Benchmarking for Constrained Optimization Algorithms by Patrick Spettel, FWF project Evolution Strategies for Constrained Optimization, and Direct search methods under noise II: Analysis and Design.
Education
  • Formerly with the Chair of Systems Analysis at the Department of Computer Science of the University of Dortmund, Germany, in different positions finally as a professor of computer science. Research professor at the Research Center Business Informatics (former Center Process and Product Engineering) of the Vorarlberg University of Applied Sciences, Dornbirn, Austria.
Background
  • Expert in evolutionary computation, known for research in the field of Evolution Strategies. Areas of scientific interest include Evolutionary Computation (Evolution Strategies and Genetic Algorithms), Computational Intelligence (Fuzzy Systems, Neural Networks, and Evolutionary Algorithms), Methods and Algorithms inspired by nature (Bionics, Natural Computing), Optimization techniques (engineering, simulation optimization), Modeling and simulation of technical processes (in general), Dynamical systems theory (systems analysis). Current research focuses on: Evolutionary Algorithms in highly multimodal landscapes, Evolutionary and other approaches to noisy optimization, Evolutionary Algorithms for constrained optimization, Theoretical analysis of Evolutionary Algorithms, Robust engineering optimization.