Mutation strength control by meta-ES on the sharp ridge. - Hans-Georg Beyer; Michael Hellwig (GECCO, 2012)

Controlling population size and mutation strength by Meta-ES under fitness noise. - Hans-Georg Beyer; Michael Hellwig (FOGA, 2013)

Evolution Under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound - The pcCMSA-ES. - Michael Hellwig; Hans-Georg Beyer (PPSN, 2016)

The Dynamics of Cumulative Step Size Adaptation on the Ellipsoid Model. - Hans-Georg Beyer; Michael Hellwig (Evol. Comput., 2016)

Comparison of Constraint-Handling Mechanisms for the (1, λ)-ES on a Simple Constrained Problem. - Michael Hellwig; Dirk V. Arnold (Evol. Comput., 2016)

Mutation strength control via meta evolution strategies on the ellipsoid model. - Michael Hellwig; Hans-Georg Beyer (Theor. Comput. Sci., 2016)

Analysis of the pcCMSA-ES on the noisy ellipsoid model. - Hans-Georg Beyer; Michael Hellwig (GECCO, 2017)

Analysis of mutation strength adaptation within evolution strategies on the ellipsoid model and methods for the treatment of fitness noise - Michael Hellwig (2017)

A Matrix Adaptation Evolution Strategy for Constrained Real-Parameter Optimization. - Michael Hellwig; Hans-Georg Beyer (CEC, 2018)

A Linear Constrained Optimization Benchmark for Probabilistic Search Algorithms: The Rotated Klee-Minty Problem. - Michael Hellwig; Hans-Georg Beyer (TPNC, 2018)

Benchmarking Evolutionary Algorithms For Real-valued Constrained Optimization - A Critical Review. - Michael Hellwig; Hans-Georg Beyer (CoRR, 2018)

A Covariance Matrix Self-Adaptation Evolution Strategy for Linear Constrained Optimization. - Patrick Spettel; Hans-Georg Beyer; Michael Hellwig (CoRR, 2018)

Steady state analysis of a multi-recombinative meta-ES on a conically constrained problem with comparison to σSA and CSA. - Patrick Spettel; Hans-Georg Beyer; Michael Hellwig (FOGA, 2019)

Analysis of a meta-ES on a conically constrained problem. - Michael Hellwig; Hans-Georg Beyer (GECCO, 2019)

Comparison of contemporary evolutionary algorithms on the rotated Klee-Minty problem. - Michael Hellwig; Patrick Spettel; Hans-Georg Beyer (GECCO (Companion), 2019)

Benchmarking evolutionary algorithms for single objective real-valued constrained optimization - A critical review. - Michael Hellwig; Hans-Georg Beyer (Swarm Evol. Comput., 2019)

A Covariance Matrix Self-Adaptation Evolution Strategy for Optimization Under Linear Constraints. - Patrick Spettel; Hans-Georg Beyer; Michael Hellwig (IEEE Trans. Evol. Comput., 2019)

A Modified Matrix Adaptation Evolution Strategy with Restarts for Constrained Real-World Problems. - Michael Hellwig; Hans-Georg Beyer (CEC, 2020)

On the steady state analysis of covariance matrix self-adaptation evolution strategies on the noisy ellipsoid model. - Michael Hellwig; Hans-Georg Beyer (Theor. Comput. Sci., 2020)

NLP for Product Safety Risk Assessment: - Towards Consistency Evaluations of Human Expert Panels. - Michael Hellwig; Steffen Finck; Thomas Mootz; Andreas Ehe; Florian Rein (ISDA, 2021)

Benchmarking ϵMAg-ES and BP-ϵMAg-ES on the bbob-constrained testbed. - Michael Hellwig; Hans-Georg Beyer (GECCO Companion, 2022)

Automated Process Capability Analysis for Product Quality Improvements. - Felix Salcher; Steffen Finck; Michael Hellwig (ICE/ITMC, 2023)

Joining Emission Data from Diverse Economic Activity Taxonomies with Evolution Strategies. - Michael Hellwig; Steffen Finck (LOD (1), 2023)

An Interior-point Genetic Algorithm with Restarts for Flexible Job Shop Scheduling Problems. - David Hutter; Michael Hellwig; Thomas Steinberger (CEC, 2024)

TAPASGO: Transfer Learning towards a German-Language Tabular Question Answering Model. - Dominik Andreas Kowieski; Michael Hellwig; Thomas Feilhauer (LREC/COLING, 2024)

Towards a Digital Twin for Sustainable Asset Management of IoT Devices in Smart Buildings. - Chukwunonye Okolo; Noah Schmieder; Michael Hellwig; Eugen Rigger (ICE/ITMC, 2024)

A Smart Shop Floor Information System Architecture Based on the Unified Namespace. - Felix Salcher; Steffen Finck; Michael Hellwig (ICE/ITMC, 2024)

Systematic review, analysis, and characterisation of malicious industrial network traffic datasets for aiding Machine Learning algorithm performance testing. - Martin Dobler; Michael Hellwig; Nuno Lopes; Ken Oakley; Mike Winterburn (CoRR, 2024)

Analyzing design principles for competitive evolution strategies in constrained search spaces. - Michael Hellwig; Hans-Georg Beyer (CoRR, 2024)

Comprehensive Benchmarking Environment for Worker Flexibility in Flexible Job Shop Scheduling Problems. - David Hutter; Thomas Steinberger; Michael Hellwig (CoRR, 2025)