Michael Hellwig

Steffen Finck

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

Automated Process Capability Analysis for Product Quality Improvements.

[BibT_eX]

[DOI]

Felix Salcher

Steffen Finck

Proceedings of the IEEE International Conference on Engineering, Technology and Innovation, 2023

2022

Benchmarking ϵMAg-ES and BP-ϵMAg-ES on the bbob-constrained testbed.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2020

A Modified Matrix Adaptation Evolution Strategy with Restarts for Constrained Real-World Problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

A Covariance Matrix Self-Adaptation Evolution Strategy for Optimization Under Linear Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2019

Benchmarking evolutionary algorithms for single objective real-valued constrained optimization - A critical review.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2019

Comparison of contemporary evolutionary algorithms on the rotated Klee-Minty problem.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Analysis of a meta-ES on a conically constrained problem.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2018

Benchmarking Evolutionary Algorithms For Real-valued Constrained Optimization - A Critical Review.

[BibT_eX]

[DOI]

CoRR, 2018

A Linear Constrained Optimization Benchmark for Probabilistic Search Algorithms: The Rotated Klee-Minty Problem.

[BibT_eX]

[DOI]

Proceedings of the Theory and Practice of Natural Computing - 7th International Conference, 2018

A Matrix Adaptation Evolution Strategy for Constrained Real-Parameter Optimization.

[BibT_eX]

[DOI]

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

[BibT_eX]

[DOI]

PhD thesis, 2017

Analysis of the pcCMSA-ES on the noisy ellipsoid model.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Mutation strength control via meta evolution strategies on the ellipsoid model.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2016

Comparison of Constraint-Handling Mechanisms for the (1, λ)-ES on a Simple Constrained Problem.

[BibT_eX]

[DOI]

Dirk V. Arnold

Evol. Comput., 2016

The Dynamics of Cumulative Step Size Adaptation on the Ellipsoid Model.

[BibT_eX]

[DOI]

Evol. Comput., 2016

Evolution Under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound - The pcCMSA-ES.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

2013

Controlling population size and mutation strength by Meta-ES under fitness noise.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Genetic Algorithms XII, 2013

2012

Mutation strength control by meta-ES on the sharp ridge.

[BibT_eX]

[DOI]