Phone	+43 (0)5572 792 7102
Fax	+43 (0)5572 792 9510
Office	Hochschulstr. 1 Room V606 A-6850 Dornbirn
E-Mail	Hans-Georg.Beyerfhv.at
Postal Address	Fachhochschule Vorarlberg Research Center BI Hochschulstr. 1 A-6859 Dornbirn, Austria

Welcome to My Homepage

• Evolutionary Computation (Evolution Strategies and Genetic Algorithms)
• Computational Intelligence (Fuzzy Systems, Neural Networks, and Evolutionary Algorithms)
• Methods and Algorithms gleaned from nature (Bionics, Natural Computing)
• Optimization techniques (engineering, simulation optimization)
  
• Modeling and simulation of technical processes (in general)
• Dynamical systems theory (systems analysis)
  

• Evolutionary and other approaches to noisy optimization
• Evolutionary Algorithms for constrained optimization
• Theoretical analysis of Evolutionary Algorithms
• Robust engineering optimization
  

• 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 VDI/VDE GMA Fachausschuss 5.14 Computational Intelligence
• Member of the ACM Special Interest Group for Genetic and Evolutionary Computation

• together with M. Omeradzic:
  Progress Analysis of a Multi-Recombinative Evolution Strategy on the Highly Multimodal Rastrigin Function
  Theoretical Computer Science, 978 (2023) 114179.
  (DOI: 10.1016/j.tcs.2023.11417)

• together with A. Omeradzic:
  Convergence Properties of the $(\mu/\mu_I, \lambda)$-ES on the Rastrigin Function
  In FOGA-2023: Foundations of Genetic Algorithms, XV , pages 117-128, 2023, ACM.
  (DOI: 10.1145/3594805.3607126)

• together with L. Schönenberger:
  On a Population Sizing Model for Evolution Strategies Optimizing the Highly Multimodal Rastrigin Function
  In GECCO-2023: Proceedings of the Genetic and Evolutionary Computation Conference, pages 848-855, 2023, ACM.
  (DOI: 10.1145/3583131.3590451)

• together with P. Spettel:
  On the Design of a Matrix Adaptation Evolution Strategy for Optimization on General Quadratic Manifolds
  ACM Transactions on Evolutionary Learning and Optimization, 2022
  (DOI: 10.1145/3551394)

• together with A. Omeradzic:
  Progress Rate Analysis of Evolution Strategies on the Rastrigin Function: First Results
  In Proceedings of the 17th International Conference on Parallel Problem Solving from Nature (PPSN XVII), 2022, Springer.
  (DOI: 10.1007/978-3-031-14721-0_35)

• together with M. Hellwig:
  Benchmarking 𝜖MAg-ES and BP-𝜖MAg-ES on the
  bbob-constrained Testbed (extended version)
  In GECCO-2022: Proceedings of the Genetic and Evolutionary Computation Conference, 2022, ACM.
  (DOI: 10.1145/3520304.3534010)

• together with P. Spettel:
  A Matrix Adaptation Evolution Strategy for Optimization on General Quadratic Manifolds
  In GECCO-2021: Proceedings of the Genetic and Evolutionary Computation Conference, pages 537-545, 2021, ACM.
  (DOI: 10.1145/3449639.3459282)

• Revision (errata correction) and supplementary material to:
  Convergence Analysis of Evolutionary Algorithms That Are Based on the Paradigm of Information Geometry
  Evolutionary Computation, 2014.
  (DOI: 10.1162/EVCO_a_00132)

• together with M. Hellwig:
  A Modified Matrix Adaptation Evolution Strategy with Restarts for Constrained Real-World Problems
  In 2020 IEEE Congress on Evolutionary Computation (CEC), pages 1-8, 2020, IEEE.
  (DOI: 10.1109/CEC48606.2020.9185566)

• together with P. Spettel:
  Matrix Adaptation Evolution Strategies for Optimization Under Nonlinear Equality Constraints
  Swarm and Evolutionary Computation, 2020.
  (DOI: 10.1016/j.swevo.2020.100653)

• together with P. Spettel and M. Hellwig:
  Steady State Analysis of a Multi-Recombinative Meta-ES on a Conically Constrained Problem with Comparison to sigmaSA and CSA
  In FOGA-2019: Foundations of Genetic Algorithms, XV , pages 43-57, 2019, ACM.
  (DOI: 10.1145/3299904.3340306)

• together with P. Spettel:
  Analysis of the (mu/muI, lambda)-sigma-Self-Adaptation Evolution Strategy with Repair by Projection Applied to a Conically Constrained Problem
  IEEE Transactions on Evolutionary Computation, 2019
  (DOI: 10.1109/TEVC.2019.2930316)

• together with P. Spettel:
  Analysis of the (mu/muI,lambda)-CSA-ES with Repair by Projection Applied to a Conically Constrained Problem
  Evolutionary Computation, 2019.
  (DOI: 10.1162/EVCO_a_00261)

• together with M. Hellwig:
  Analysis of a Meta-ES on a Conically Constrained Problem
  In GECCO-2019: Proceedings of the Genetic and Evolutionary Computation Conference, pages 673-681, 2019, ACM.
  (DOI: 10.1145/3321707.3321824)

• together with M. Hellwig and P. Spettel:
  Comparison of Contemporary Evolutionary Algorithms on the Rotated Klee-Minty Problem
  In GECCO-2019: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1879-1887, 2019, ACM.
  (DOI: 10.1145/3319619.3326805)

• together with P. Spettel:
  A multi-recombinative active matrix adaptation evolution strategy for constrained optimization
  Soft Computing 23(16), pages 6847-6869, 2019
  (DOI: 10.1007/s00500-018-03736-z)

• together with M. Hellwig:
  Benchmarking evolutionary algorithms for single objective real-valued constrained optimization - A critical review
  Swarm and Evolutionary Computation 44, pages 927-944, 2019
  (DOI: 10.1016/j.swevo.2018.10.002)

• together with M. Hellwig:
  A Linear Constrained Optimization Benchmark for Probabilistic Search Algorithms: The Rotated Klee-Minty Problem
  In 7th International Conference on the Theory and Practice of Natural Computing TPNC2018, pages 139-151, 2018, Springer.
  (DOI: 10.1007/978-3-030-04070-3_11)

• together with P. Spettel and M. Hellwig:
  A Covariance Matrix Self-Adaptation Evolution Strategy for Linear Constrained Optimization
  IEEE Transactions on Evolutionary Computation 23(3), pages 514-524, 2019
  (DOI: 10.1109/TEVC.2018.2871944)

• together with I. Loshchilov and T. Glasmachers:
  Large Scale Black-box Optimization by Limited-Memory Matrix Adaptation
  IEEE Transactions on Evolutionary Computation 23(2), pages 353-358, 2019
  (DOI: 10.1109/TEVC.2018.2855049)

• together with M. Hellwig:
  On the steady state analysis of covariance matrix self-adaptation evolution strategies on the noisy ellipsoid model
  Theoretical Computer Science, pages 98-122, 2018.
  (DOI: 10.1016/j.tcs.2018.05.016)

• together with P. Spettel:
  Analysis of the (1, lambda)-sigma-Self-Adaptation Evolution Strategy with Repair by Projection Applied to a Conically Constrained Problem
  Theoretical Computer Science, pages 30-45, 2018.
  (DOI: 10.1016/j.tcs.2018.10.036)

• together with M. Hellwig:
  A Matrix Adaptation Evolution Strategy for Constrained Real-Parameter Optimization
  In 2018 IEEE Congress on Evolutionary Computation (CEC), pages 749-756, 2018, IEEE.
  (DOI: 10.1109/CEC.2018.8477950)

• together with P. Spettel:
  A Simple Approach for Constrained Optimization - An Evolution Strategy that Evolves Rays
  In 2018 IEEE Congress on Evolutionary Computation (CEC), pages 335-342, 2018, IEEE.
  (DOI: 10.1109/CEC.2018.8477753)

• together with B. Sendhoff:
  Simplify Your Covariance Matrix Adaptation Evolution Strategy
  IEEE Transactions on Evolutionary Computation 21(5), pages 746-759, 2017
  (DOI: 10.1109/TEVC.2017.2680320)

• together with M. Hellwig:
  Analysis of the pcCMSA-ES on the noisy ellipsoid model
  In GECCO-2017: Proceedings of the Genetic and Evolutionary Computation Conference, pages 689-696, 2017, ACM.
  (DOI: 10.1145/3071178.3079195)

• together with B. Sendhoff:
  Towards a Steady-State Analysis of an Evolution Strategy on a Robust Optimization Problem with Noise-Induced Multi-Modality
  IEEE Transactions on Evolutionary Computation 21(4), pages 629-643, 2017
  (DOI: 10.1109/TEVC.2017.2668068)