Hans-Georg Beyer

10.6k total citations · 3 hit papers
120 papers, 6.6k citations indexed

About

Hans-Georg Beyer is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Hans-Georg Beyer has authored 120 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Artificial Intelligence, 45 papers in Computational Theory and Mathematics and 18 papers in Genetics. Recurrent topics in Hans-Georg Beyer's work include Metaheuristic Optimization Algorithms Research (76 papers), Evolutionary Algorithms and Applications (57 papers) and Advanced Multi-Objective Optimization Algorithms (42 papers). Hans-Georg Beyer is often cited by papers focused on Metaheuristic Optimization Algorithms Research (76 papers), Evolutionary Algorithms and Applications (57 papers) and Advanced Multi-Objective Optimization Algorithms (42 papers). Hans-Georg Beyer collaborates with scholars based in Austria, Germany and Canada. Hans-Georg Beyer's co-authors include Hans–Paul Schwefel, Bernhard Sendhoff, Kalyanmoy Deb, Dirk V. Arnold, Una-May O’Reilly, Edo Wiemken, Wolfgang Heydenreich, Klaus H. Kiefer, Ingo Wegener and Steffen Finck and has published in prestigious journals such as IEEE Transactions on Automatic Control, Computer Methods in Applied Mechanics and Engineering and Solar Energy.

In The Last Decade

Hans-Georg Beyer

110 papers receiving 6.2k citations

Hit Papers

Evolution strategies – A comprehensive introduction 2001 2026 2009 2017 2002 2007 2001 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Evolution strategies – A comprehensive introduction
    2002 1.8k citations Hans-Georg Beyer, Hans–Paul Schwefel Natural Computing profile →
  2. Robust optimization – A comprehensive survey
    2007 1.1k citations Hans-Georg Beyer et al. profile →
  3. The Theory of Evolution Strategies
    2001 530 citations Hans-Georg Beyer profile →

Peers

Hans-Georg Beyer
Bernhard Sendhoff Germany
David A. Van Veldhuizen United States
Aimin Zhou China
David Corne United Kingdom
Michael Emmerich Netherlands
Carlos M. Fonseca Portugal
Jouni Lampinen Finland
Kaisa Miettinen Finland
Efrén Mezura‐Montes Mexico
Deb Kalyanmoy India
Bernhard Sendhoff Germany
Hans-Georg Beyer
Citations per year, relative to Hans-Georg Beyer Hans-Georg Beyer (= 1×) peers Bernhard Sendhoff

Countries citing papers authored by Hans-Georg Beyer

Since Specialization
Citations

This map shows the geographic impact of Hans-Georg Beyer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hans-Georg Beyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans-Georg Beyer more than expected).

Fields of papers citing papers by Hans-Georg Beyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans-Georg Beyer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hans-Georg Beyer. The network helps show where Hans-Georg Beyer may publish in the future.

Co-authorship network of co-authors of Hans-Georg Beyer

This figure shows the co-authorship network connecting the top 25 collaborators of Hans-Georg Beyer. A scholar is included among the top collaborators of Hans-Georg Beyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hans-Georg Beyer. Hans-Georg Beyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Beyer, Hans-Georg, et al.. (2024). Optimal Scaling of an Algorithmic Parameter in Restart Strategies. 193–207.
3.
Beyer, Hans-Georg, et al.. (2023). Progress analysis of a multi-recombinative evolution strategy on the highly multimodal Rastrigin function. Theoretical Computer Science. 978. 114179–114179. 6 indexed citations
4.
Beyer, Hans-Georg, et al.. (2022). Progress Rate Analysis of Evolution Strategies on the Rastrigin Function: First Results. Lecture notes in computer science. 13399. 499–511. 5 indexed citations
5.
Beyer, Hans-Georg, et al.. (2018). A Covariance Matrix Self-Adaptation Evolution Strategy for Linear Constrained Optimization.. arXiv (Cornell University).
6.
Beyer, Hans-Georg, et al.. (2018). Analysis of the (1,λ)-σ-Self-Adaptation Evolution Strategy with repair by projection applied to a conically constrained problem. Theoretical Computer Science. 785. 30–45. 3 indexed citations
7.
Beyer, Hans-Georg, et al.. (2014). A new HiPak Module Platform with Improved Reliability. 1–7. 2 indexed citations
8.
Beyer, Hans-Georg & William B. Langdon. (2011). Proceedings of the 11th workshop proceedings on Foundations of genetic algorithms. 4 indexed citations
9.
Finck, Steffen & Hans-Georg Beyer. (2011). Performance analysis of the simultaneous perturbation stochastic approximation algorithm on the noisy sphere model. Theoretical Computer Science. 419(C). 50–72. 4 indexed citations
10.
Meyer-Nieberg, Silja & Hans-Georg Beyer. (2007). Mutative self-adaptation on the sharp and parabolic ridge. 70–96. 6 indexed citations
11.
Arnold, Dirk V. & Hans-Georg Beyer. (2006). Evolution strategies with cumulative step length adaptation on the noisy parabolic ridge. Natural Computing. 7(4). 555–587. 14 indexed citations
12.
Arnold, Dirk V. & Hans-Georg Beyer. (2002). Noisy Local Optimization with Evolution Strategies. Kluwer Academic Publishers eBooks. 44 indexed citations
13.
Beyer, Hans-Georg, Hans–Paul Schwefel, & Ingo Wegener. (2002). How to analyse evolutionary algorithms. Theoretical Computer Science. 287(1). 101–130. 78 indexed citations
14.
Arnold, Dirk V. & Hans-Georg Beyer. (2002). Performance analysis of evolution strategies with multi-recombination in high-dimensional RN-search spaces disturbed by noise. Theoretical Computer Science. 289(1). 629–647. 28 indexed citations
15.
Beyer, Hans-Georg & Kalyanmoy Deb. (2001). On self-adaptive features in real-parameter evolutionary algorithms. IEEE Transactions on Evolutionary Computation. 5(3). 250–270. 174 indexed citations
16.
Fogel, David B. & Hans-Georg Beyer. (2000). Do Evolutionary Processes Minimize Expected Losses?. Journal of Theoretical Biology. 207(1). 117–123. 4 indexed citations
17.
Deb, Kalyanmoy & Hans-Georg Beyer. (1999). Self-adaptation in real-parameter genetic algorithms with simulated binary crossover. Genetic and Evolutionary Computation Conference. 172–179. 42 indexed citations
18.
Beyer, Hans-Georg & Dirk V. Arnold. (1999). Fitness noise and localization errors of the optimum in general quadratic fitness models. Genetic and Evolutionary Computation Conference. 817–824. 8 indexed citations
19.
Beyer, Hans-Georg. (1998). Mutate Large, But Inherit Small! On the Analysis of Rescaled Mutations in 1-lambda-ES with Noisy Fitness Data. 109–118. 9 indexed citations
20.
Beyer, Hans-Georg. (1992). Some Aspects of the 'Evolution Strategiy' for Solving TSP-Like Optimization Problems Appearing at the Design Studies of a 0.5 TeV e + e - -Linear Collider.. 363–372. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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