Sequential Parameter Optimization in Noisy Environments

Thomas Bartz-Beielstein , Christian Jung , Martin Zafferer

2015
In a Nutshell: Sequential Parameter Optimization

Thomas Bartz-Beielstein , Martin Zaefferer , Lorenzo Gentile
arXiv: Mathematical Software

7
2017
Surrogate-Assisted Learning of Neural Networks

Thomas Bartz-Beielstein , Martin Zaefferer , Jörg Stork , Andreas Fischbach

4
2017
Expected Improvement versus Predicted Value in Surrogate-Based Optimization.

Thomas Bartz-Beielstein , Boris Naujoks , Martin Zaefferer , Frederik Rehbach
arXiv: Neural and Evolutionary Computing

2020
Continuous Optimization Benchmarks by Simulation

Martin Zaefferer , Frederik Rehbach
parallel problem solving from nature 273 -286

2
2020
Prediction of neural network performance by phenotypic modeling

Alexander Hagg , Martin Zaefferer , Adam Gaier , Jörg Stork
genetic and evolutionary computation conference 1576 -1582

1
2019
Sequential Parameter Optimization for Mixed-Discrete Problems

Thomas Bartz-Beielstein , Martin Zaefferer , Lorenzo Gentile
Springer International Publishing 333 -355

2021
Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis.

Thomas Bartz-Beielstein , Martin Zaefferer , Olaf Mersmann , Frederik Rehbach
arXiv: Artificial Intelligence

2021
Behavior-based Neuroevolutionary Training in Reinforcement Learning.

Thomas Bartz-Beielstein , Martin Zaefferer , A. E. Eiben , Jörg Stork

2
2021
Uncertainty Management Using Sequential Parameter Optimization

Thomas Bartz-Beielstein , Christian Jung , Martin Zaefferer
Uncertainty Management in Simulation-Optimization of Complex Systems 79 -99

3
2015
Distance Measures for Permutations in Combinatorial Efficient Global Optimization

Martin Zaefferer , Jörg Stork , Thomas Bartz-Beielstein
parallel problem solving from nature 373 -383

31
2014
Understanding the Behavior of Reinforcement Learning Agents

Jörg Stork , Martin Zaefferer , Thomas Bartz-Beielstein , A. E. Eiben
International Conference on Bioinspired Methods and Their Applications 148 -160

2020
Noisy optimization with sequential parameter optimization and optimal computational budget allocation

Thomas Bartz-Beielstein , Martina Friese , Martin Zaefferer , Boris Naujoks
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation - GECCO '11 119 -120

3
2011
Simulation-based test functions for optimization algorithms

Martin Zaefferer , Andreas Fischbach , Boris Naujoks , Thomas Bartz-Beielstein
genetic and evolutionary computation conference 905 -912

5
2017
Open Issues in Surrogate-Assisted Optimization

Jörg Stork , Martina Friese , Martin Zaefferer , Thomas Bartz-Beielstein
High-Performance Simulation-Based Optimization 225 -244

3
2020
Optimization of biogas production with computational intelligence a comparative study

Jorg Ziegenhirt , Thomas Bartz-Beielstein , Oliver Flasch , Wolfgang Konen
IEEE Congress on Evolutionary Computation 1 -8

7
2010
Multi-fidelity modeling and optimization of biogas plants

Martin Zaefferer , Daniel Gaida , Thomas Bartz-Beielstein
soft computing 48 13 -28

11
2016
Model-based methods for continuous and discrete global optimization

Thomas Bartz-Beielstein , Martin Zaefferer
soft computing 55 154 -167

142
2017
Tuning multi-objective optimization algorithms for cyclone dust separators

Martin Zaefferer , Beate Breiderhoff , Boris Naujoks , Martina Friese
genetic and evolutionary computation conference 1223 -1230

3
2014
Efficient Global Optimization with Indefinite Kernels

Martin Zaefferer , Thomas Bartz-Beielstein
parallel problem solving from nature 69 -79

7
2016