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Engineering and Technology

D-Index
49
Citations
19616
World Ranking
4200
National Ranking
13

Overview

Hans-Georg Beyer is affiliated with the Vorarlberg University of Applied Sciences in Austria. Their research primarily falls within the field of Computer Science, with a notable focus on Artificial Intelligence, Computational Theory and Mathematics, Genetics, Sociology and Political Science, and Modeling and Simulation.

The scientist has contributed extensively to topics related to Evolutionary Algorithms and Applications, Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms, Evolution and Genetic Dynamics, Evolutionary Game Theory and Cooperation, Fractional Differential Equations Solutions, and Advanced Optimization Algorithms Research.

Frequent coauthors collaborating with Hans-Georg Beyer include Amir Omeradzic, Michael Hellwig, Lisa Schönenberger, and Patrick Spettel.

They have published in several key venues, including:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • IEEE Transactions on Evolutionary Computation
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion

Recent papers by Hans-Georg Beyer encompass:

  • Progress analysis of a multi-recombinative evolution strategy on the highly multimodal Rastrigin function, 2023, Theoretical Computer Science
  • On a Population Sizing Model for Evolution Strategies Optimizing the Highly Multimodal Rastrigin Function, 2023, Proceedings of the Genetic and Evolutionary Computation Conference
  • Progress Rate Analysis of Evolution Strategies on the Rastrigin Function: First Results, 2022, Lecture notes in computer science
  • Matrix adaptation evolution strategies for optimization under nonlinear equality constraints, 2020, Swarm and Evolutionary Computation
  • On a Population Sizing Model for Evolution Strategies in Multimodal Landscapes, 2024, IEEE Transactions on Evolutionary Computation

Best Publications

  • Evolution strategies –A comprehensive introduction

    Hans-Georg Beyer;Hans-Paul Schwefel

  • Robust Optimization - A Comprehensive Survey

    Hans-Georg Beyer;Bernhard Sendhoff

  • Genetic and Evolutionary Computation - GECCO 2004

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

  • The Theory of Evolution Strategies

    Hans Georg Beyer

  • Self-Adaptive Genetic Algorithms with Simulated Binary Crossover

    Kalyanmoy Deb;Hans-georg Beyer

  • Genetic and Evolutionary Computation -- GECCO-2003

    Erick Cantú-Paz;James A. Foster;Kalyanmoy Deb;Lawrence David Davis

  • Parallel Problem Solving from Nature — PPSN VII

    Juan Julián Merelo Guervós;Panagiotis Adamidis;Hans-Georg Beyer;Hans-Paul Schwefel

  • Mapping the performance of PV modules, effects of module type and data averaging

    Thomas Huld;Ralph Gottschalg;Hans Georg Beyer;Marko Topič

  • On self-adaptive features in real-parameter evolutionary algorithms

    H.-G. Beyer;K. Deb

  • Monitoring and remote failure detection of grid-connected PV systems based on satellite observations

    A. Drews;A.C. de Keizer;H.G. Beyer;E. Lorenz

  • Parallel Problem Solving from Nature - PPSN IX

    Thomas Philip Runarsson;Hans-Georg Beyer;Edmund Burke;Juan J. Merelo-Guervós

  • Evolutionary algorithms in noisy environments : theoretical issues and guidelines for practice

    Hans-Georg Beyer

  • Toward a theory of evolution strategies: Self-adaptation

    Hans-Georg Beyer

  • Self-Adaptation in Evolutionary Algorithms

    Silja Meyer-Nieberg;Hans-Georg Beyer

  • Toward a theory of evolution strategies: On the benefits of sex---the (μ/μ, λ) theory

    Hans-Georg Beyer

  • Benchmark Generator for CEC'2009 Competition on Dynamic Optimization

    C Li;S Yang;T T Nguyen;E L Yu

  • Verification of deterministic solar forecasts

    Dazhi Yang;Stefano Alessandrini;Javier Antonanzas;Fernando Antonanzas-Torres

  • Toward a theory of evolution strategies: Some asymptotical results from the (1,+ λ)-theory

    Hans-Georg Beyer

  • How to analyse evolutionary algorithms

    Hans-Georg Beyer;Hans-Paul Schwefel;Ingo Wegener

  • Proceedings of the 7th annual conference on Genetic and evolutionary computation

    Hans-Georg Beyer;Una-May O'Reilly

  • Parallel Problem Solving from Nature - PPSN IX: 9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Proceedings (Lecture Notes in Computer Science)

    Thomas Philip Runarsson;Hans-Georg Beyer;Edmund Burke;Juan J. Merelo-Guervós

Frequent Co-Authors

Bernhard Sendhoff
Bernhard Sendhoff Honda (Germany)
Thomas Weiland
Thomas Weiland Technical University of Darmstadt
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Edmund K. Burke
Edmund K. Burke Bangor University
Xin Yao
Xin Yao Lingnan University
L. Darrell Whitley
L. Darrell Whitley Colorado State University
David B. Fogel
David B. Fogel Torrey Pines Institute For Molecular Studies
Yaochu Jin
Yaochu Jin Westlake University

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