NEWS ## FWF project started:Evolutionary Global Optimization## GECCO 2023 Tutorial:What You Always Wanted to Know About Evolution Strategies, But Never Dared to Ask## WCCI 2022 Tutorial:Introduction into Matrix Adaptation Evolution StrategiesProjects Completed ECDF-Benchmarking for Constrained Optimization Algorithms by Patrick Spettel Project Page Completed FWF-Project Evolution Strategies for Constrained Optimization Project Page FWF-Project: Direct search methods under noise II: Analysis and Design Project Page |
## Welcome to My HomepageI am a research professor at the Research Center Business Informatics (former Center Process and Product Engineering) of the Vorarlberg University of Applied Sciences, Dornbirn, Austria.I am also a co-opted member of the Faculty of Engineering, Computer Science, and Psychology at Ulm University, Germany Formerly, I was 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. You may also visite my old homepage there. My areas of scientific interests are: - 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
My Publications Some of my latest publications are (papers submitted, accepted or in print, please respect the copyright conditions): - 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)
last change: 05.10.2023 |