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Hans-Georg Beyer
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Publications
- 2022
- [c62]Michael Hellwig, Hans-Georg Beyer:
Benchmarking ϵMAg-ES and BP-ϵMAg-ES on the bbob-constrained testbed. GECCO Companion 2022: 1717-1724 - 2020
- [j51]Michael Hellwig, Hans-Georg Beyer:
On the steady state analysis of covariance matrix self-adaptation evolution strategies on the noisy ellipsoid model. Theor. Comput. Sci. 832: 98-122 (2020) - [c59]Michael Hellwig, Hans-Georg Beyer:
A Modified Matrix Adaptation Evolution Strategy with Restarts for Constrained Real-World Problems. CEC 2020: 1-8 - 2019
- [j48]Michael Hellwig, Hans-Georg Beyer:
Benchmarking evolutionary algorithms for single objective real-valued constrained optimization - A critical review. Swarm Evol. Comput. 44: 927-944 (2019) - [j45]Patrick Spettel, Hans-Georg Beyer, Michael Hellwig:
A Covariance Matrix Self-Adaptation Evolution Strategy for Optimization Under Linear Constraints. IEEE Trans. Evol. Comput. 23(3): 514-524 (2019) - [c57]Patrick Spettel, Hans-Georg Beyer, Michael Hellwig:
Steady state analysis of a multi-recombinative meta-ES on a conically constrained problem with comparison to σSA and CSA. FOGA 2019: 43-57 - [c56]Michael Hellwig, Hans-Georg Beyer:
Analysis of a meta-ES on a conically constrained problem. GECCO 2019: 673-681 - [c55]Michael Hellwig, Patrick Spettel, Hans-Georg Beyer:
Comparison of contemporary evolutionary algorithms on the rotated Klee-Minty problem. GECCO (Companion) 2019: 1879-1887 - 2018
- [c54]Michael Hellwig, Hans-Georg Beyer:
A Matrix Adaptation Evolution Strategy for Constrained Real-Parameter Optimization. CEC 2018: 1-8 - [c52]Michael Hellwig, Hans-Georg Beyer:
A Linear Constrained Optimization Benchmark for Probabilistic Search Algorithms: The Rotated Klee-Minty Problem. TPNC 2018: 139-151 - [i6]Michael Hellwig, Hans-Georg Beyer:
Benchmarking Evolutionary Algorithms For Real-valued Constrained Optimization - A Critical Review. CoRR abs/1806.04563 (2018) - [i5]Patrick Spettel, Hans-Georg Beyer, Michael Hellwig:
A Covariance Matrix Self-Adaptation Evolution Strategy for Linear Constrained Optimization. CoRR abs/1806.05845 (2018) - [i4]Michael Hellwig, Hans-Georg Beyer:
A Linear Constrained Optimization Benchmark For Probabilistic Search Algorithms: The Rotated Klee-Minty Problem. CoRR abs/1807.10068 (2018) - 2017
- [c51]Hans-Georg Beyer, Michael Hellwig:
Analysis of the pcCMSA-ES on the noisy ellipsoid model. GECCO 2017: 689-696 - 2016
- [j42]Hans-Georg Beyer, Michael Hellwig:
The Dynamics of Cumulative Step Size Adaptation on the Ellipsoid Model. Evol. Comput. 24(1): 25-57 (2016) - [j41]Michael Hellwig, Hans-Georg Beyer:
Mutation strength control via meta evolution strategies on the ellipsoid model. Theor. Comput. Sci. 623: 160-179 (2016) - [c50]Michael Hellwig, Hans-Georg Beyer:
Evolution Under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound - The pcCMSA-ES. PPSN 2016: 26-36 - 2013
- [c48]Hans-Georg Beyer, Michael Hellwig:
Controlling population size and mutation strength by Meta-ES under fitness noise. FOGA 2013: 11-24 - 2012
- [c47]Hans-Georg Beyer, Michael Hellwig:
Mutation strength control by meta-ES on the sharp ridge. GECCO 2012: 305-312
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