Michael Hellwig
Orcid: 0000-0002-6731-8166
According to our database1,
Michael Hellwig
authored at least 27 papers
between 2012 and 2024.
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Bibliography
2024
Analyzing design principles for competitive evolution strategies in constrained search spaces.
CoRR, 2024
Systematic review, analysis, and characterisation of malicious industrial network traffic datasets for aiding Machine Learning algorithm performance testing.
CoRR, 2024
TAPASGO: Transfer Learning towards a German-Language Tabular Question Answering Model.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
An Interior-point Genetic Algorithm with Restarts for Flexible Job Shop Scheduling Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
Joining Emission Data from Diverse Economic Activity Taxonomies with Evolution Strategies.
Proceedings of the Machine Learning, Optimization, and Data Science, 2023
Proceedings of the IEEE International Conference on Engineering, Technology and Innovation, 2023
2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
NLP for Product Safety Risk Assessment: - Towards Consistency Evaluations of Human Expert Panels.
Proceedings of the Intelligent Systems Design and Applications, 2021
2020
On the steady state analysis of covariance matrix self-adaptation evolution strategies on the noisy ellipsoid model.
Theor. Comput. Sci., 2020
A Modified Matrix Adaptation Evolution Strategy with Restarts for Constrained Real-World Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
A Covariance Matrix Self-Adaptation Evolution Strategy for Optimization Under Linear Constraints.
IEEE Trans. Evol. Comput., 2019
Benchmarking evolutionary algorithms for single objective real-valued constrained optimization - A critical review.
Swarm Evol. Comput., 2019
Comparison of contemporary evolutionary algorithms on the rotated Klee-Minty problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Steady state analysis of a multi-recombinative meta-ES on a conically constrained problem with comparison to σSA and CSA.
Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2019
2018
A Covariance Matrix Self-Adaptation Evolution Strategy for Linear Constrained Optimization.
CoRR, 2018
Benchmarking Evolutionary Algorithms For Real-valued Constrained Optimization - A Critical Review.
CoRR, 2018
A Linear Constrained Optimization Benchmark for Probabilistic Search Algorithms: The Rotated Klee-Minty Problem.
Proceedings of the Theory and Practice of Natural Computing - 7th International Conference, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Analysis of mutation strength adaptation within evolution strategies on the ellipsoid model and methods for the treatment of fitness noise
PhD thesis, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
Theor. Comput. Sci., 2016
Comparison of Constraint-Handling Mechanisms for the (1, λ)-ES on a Simple Constrained Problem.
Evol. Comput., 2016
Evol. Comput., 2016
Evolution Under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound - The pcCMSA-ES.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016
2013
Proceedings of the Foundations of Genetic Algorithms XII, 2013
2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012