Publications

Below is a list of publications that I was involved in.
Feel free to contact me if you have any questions, feedback or comments about the presented research, preferably via email:

martin.zaefferer (at) gmx.de

86 entries « 1 of 2 »

2023

Bartz-Beielstein, Thomas; Chandrasekaran, Sowmya; Rehbach, Frederik; Zaefferer, Martin

Case Study I: Tuning Random Forest (Ranger) Book Section

In: Hyperparameter Tuning for Machine and Deep Learning with R, pp. 187–220, Springer, 2023.

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Zaefferer, Martin; Chandrasekaran, Sowmya

Case Study IV: Tuned Reinforcement Learning (in Python) Book Section

In: Hyperparameter Tuning for Machine and Deep Learning with R, pp. 271–281, Springer, 2023.

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Zaefferer, Martin; Mersmann, Olaf; Bartz-Beielstein, Thomas

Global Study: Influence of Tuning Book Section

In: Hyperparameter Tuning for Machine and Deep Learning with R, pp. 283–301, Springer, 2023.

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Bartz-Beielstein, Thomas; Zaefferer, Martin

Hyperparameter Tuning Approaches Book Section

In: Hyperparameter Tuning for Machine and Deep Learning with R, pp. 71–119, Springer, 2023.

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Bartz, Eva; Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf (Ed.)

Hyperparameter Tuning for Machine and Deep Learning with R Book

Springer, 2023.

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Bartz-Beielstein, Thomas; Zaefferer, Martin

Models Book Section

In: Hyperparameter Tuning for Machine and Deep Learning with R, pp. 27–69, Springer, 2023.

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Hellstern, Gerhard; Dehn, Vanessa; Zaefferer, Martin

Quantum computer based Feature Selection in Machine Learning Journal Article

In: 2023.

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Zhang, Yingqian; Bliek, Laurens; Costa, Paulo; Afshar, Reza Refaei; Reijnen, Robbert; Catshoek, Tom; Vos, Daniël; Verwer, Sicco; Schmitt-Ulms, Fynn; Hottung, André; Shah, Tapan; Sellmann, Meinolf; Tierney, Kevin; Perreault-Lafleur, Carl; Leboeuf, Caroline; Bobbio, Federico; Pepin, Justine; Silva, Warley Almeida; Gama, Ricardo; Fernandes, Hugo L.; Zaefferer, Martin; López-Ibáñez, Manuel; Irurozki, Ekhine

The first AI4TSP competition: Learning to solve stochastic routing problems Journal Article

In: Artificial Intelligence, vol. 319, pp. 103918, 2023, ISSN: 0004-3702.

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Bartz-Beielstein, Thomas; Zaefferer, Martin; Mersmann, Olaf

Tuning: Methodology Book Section

In: Hyperparameter Tuning for Machine and Deep Learning with R, pp. 7–26, Springer, 2023.

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2022

Rehbach, Frederik; Zaefferer, Martin; Fischbach, Andreas; Rudolph, Günter; Bartz-Beielstein, Thomas

Benchmark-Driven Algorithm Configuration Applied to Parallel Model-Based Optimization Journal Article

In: techrxiv preprint, 2022.

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Rehbach, Frederik; Zaefferer, Martin; Fischbach, Andreas; Rudolph, Gunter; Bartz-Beielstein, Thomas

Benchmark-Driven Configuration of a Parallel Model-Based Optimization Algorithm Journal Article

In: IEEE Transactions on Evolutionary Computation, vol. 26, no. 6, pp. 1365–1379, 2022.

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Bliek, Laurens; Costa, Paulo; Afshar, Reza Refaei; Zhang, Yingqian; Catshoek, Tom; Vos, Daniël; Verwer, Sicco; Schmitt-Ulms, Fynn; Hottung, André; Shah, Tapan; Sellmann, Meinolf; Tierney, Kevin; Perreault-Lafleur, Carl; Leboeuf, Caroline; Bobbio, Federico; Pepin, Justine; Silva, Warley Almeida; Gama, Ricardo; Fernandes, Hugo L.; Zaefferer, Martin; López-Ibáñez, Manuel; Irurozki, Ekhine

The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems Journal Article

In: arXiv, 2022.

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2021

Stork, Jörg; Zaefferer, Martin; Eisler, Nils; Tichelmann, Patrick; Bartz-Beielstein, Thomas; Eiben, A. E.

Behavior-based Neuroevolutionary Training in Reinforcement Learning Proceedings Article

In: Chicano, Francisco (Ed.): GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 1753–1761, ACM, Lille, France, 2021.

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Bartz, Eva; Zaefferer, Martin; Mersmann, Olaf; Bartz-Beielstein, Thomas

Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization Journal Article

In: 2021.

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Gentile, Lorenzo; Morales, Elisa; Zaefferer, Martin; Minisci, Edmondo; Quagliarella, Domenico; Bartz-Beielstein, Thomas; Tognaccini, Renato

High-Lift Devices Topology Robust Optimisation Using Machine Learning Assisted Optimisation Proceedings Article

In: Vasile, Massimiliano; Quagliarella, Domenico (Ed.): Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications, UQOP 2020, pp. 297–313, Springer, 2021.

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Bartz-Beielstein, Thomas; Dröscher, Marcel; Gür, Alpar; Hinterleitner, Alexander; Lawton, Tom; Mersmann, Olaf; Peeva, Dessislava; Reese, Lennard; Rehbach, Nicolas; Rehbach, Frederik; Sen, Amrita; Subbotin, Aleksandr; Zaefferer, Martin

Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic Proceedings Article

In: 2021 IEEE Congress on Evolutionary Computation (CEC), pp. 728–735, IEEE 2021.

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Bartz-Beielstein, Thomas; Dröscher, Marcel; Gür, Alpar; Hinterleitner, Alexander; Mersmann, Olaf; Peeva, Dessislava; Reese, Lennard; Rehbach, Nicolas; Rehbach, Frederik; Sen, Amrita; Subbotin, Aleksandr; Zaefferer, Martin

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

In: Chicano, Francisco (Ed.): GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 293–294, ACM, Lille, France, 2021.

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Stork, Jörg; Wenzel, Philip; Landwein, Severin; Algorri, Maria-Elena; Zaefferer, Martin; Kusch, Wolfgang; Staubach, Martin; Bartz-Beielstein, Thomas; Köhn, Hartmut; Dejager, Hermann; Wolf, Christian

Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs Journal Article

In: arXiv, 2021.

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2020

Bartz-Beielstein, Thomas; Zaefferer, Martin

Big Data is often just Bad Data Proceedings Article

In: DigitalXchange, Gummersbach, 2020, (Online unter: urlhttps://www.youtube.com/watch?v=VSKaw69lF5k).

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Zaefferer, Martin; Rehbach, Frederik

Continuous Optimization Benchmarks by Simulation Proceedings Article

In: Parallel Problem Solving from Nature – PPSN XVI: 16th International Conference, pp. 273–286, Springer, 2020.

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Rehbach, Frederik; Zaefferer, Martin; Naujoks, Boris; Bartz-Beielstein, Thomas

Expected improvement versus predicted value in surrogate-based optimization Proceedings Article

In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pp. 868–876, ACM, Cancun, Mexico, 2020.

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Bartz, Eva; Zaefferer, Martin; Katagiri, Takeshi; Bartz-Beielstein, Thomas

Seillose, lineare Aufzüge und Künstliche Intelligenz Journal Article

In: Transforming Cities, vol. 2020, no. 2, pp. 12–14, 2020.

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Gentile, Lorenzo; Bartz-Beielstein, Thomas; Zaefferer, Martin

Sequential Parameter Optimization for Mixed-Discrete Problems Book Section

In: Optimization Under Uncertainty with Applications to Aerospace Engineering, pp. 333–355, Springer International Publishing, 2020.

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Peetz, Tom; Vogt, Sebastian; Zaefferer, Martin; Bartz-Beielstein, Thomas

Simulation of an Elevator Group Control Using Generative Adversarial Networks and Related AI Tools Journal Article

In: arXiv, 2020, (arXiv:2009.01696).

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Bartz-Beielstein, Thomas; Zaefferer, Martin

Trinkwassersicherheit mit Predictive Analytics Proceedings Article

In: KI-basierte Technologien in der Wasserversorgung, DVGW Kongress, Bonn, 2020.

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

Understanding the Behavior of Reinforcement Learning Agents Journal Article

In: EasyChair Preprint, no. 3342, 2020.

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

Understanding the Behavior of~Reinforcement Learning Agents Proceedings Article

In: BIOMA 2020: Bioinspired Optimization Methods and Their Applications, pp. 148–160, Springer, 2020.

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2019

Zaefferer, Martin; Bartz-Beielstein, Thomas; Rudolph, Günter

An Empirical Approach For Probing the Definiteness of Kernels Journal Article

In: Soft Computing, vol. 23, no. 21, pp. 10939–10952, 2019.

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Stork, Jörg; Zaefferer, Martin; Bartz-Beielstein, Thomas

Improving NeuroEvolution Efficiency by Surrogate Model-Based Optimization with Phenotypic Distance Kernels Proceedings Article

In: Applications of Evolutionary Computation, pp. 504–519, Springer, Leipzig, Germany, 2019.

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Stork, Jörg; Friese, Martina; Zaefferer, Martin; Bartz-Beielstein, Thomas; Fischbach, Andreas; Breiderhoff, Beate; Naujoks, Boris; Tušar, Tea

Open Issues in Surrogate-Assisted Optimization Book Section

In: High-Performance Simulation-Based Optimization, pp. 225–244, Springer International Publishing, 2019.

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Hagg, Alexander; Zaefferer, Martin; Stork, Jörg; Gaier, Adam

Prediction of Neural Network Performance by Phenotypic Modeling Proceedings Article

In: López-Ibáñez, Manuel (Ed.): Proceedings of the Genetic and Evolutionary Computation Conference Companion - GECCO'19, pp. 1576–1582, ACM, Prague, Czech Republic, 2019, ISBN: 978-1-4503-6748-6.

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

Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning Proceedings Article

In: López-Ibáñez, Manuel (Ed.): Proceedings of the Genetic and Evolutionary Computation Conference - GECCO'19, pp. 934–942, ACM, Prague, Czech Republic, 2019, ISBN: 978-1-4503-6111-8.

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Horn, Daniel; Stork, Jörg; Schüßler, Nils-Jannik; Zaefferer, Martin

Surrogates for Hierarchical Search Spaces: The Wedge-kernel and an Automated Analysis Proceedings Article

In: López-Ibáñez, Manuel (Ed.): Proceedings of the Genetic and Evolutionary Computation Conference - GECCO'19, pp. 916–924, ACM, Prague, Czech Republic, 2019, ISBN: 978-1-4503-6111-8.

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Chugh, Tinkle; Rahat, Alma; Volz, Vanessa; Zaefferer, Martin

Towards Better Integration of Surrogate Models and Optimizers Book Section

In: High-Performance Simulation-Based Optimization, pp. 137–163, Springer International Publishing, 2019.

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2018

Zaefferer, Martin; Horn, Daniel

A First Analysis of Kernels for Kriging-Based Optimization in Hierarchical Search Spaces Proceedings Article

In: Auger, Anne; Fonseca, Carlos M.; Lourenço, Nuno; Machado, Penousal; Paquete, Luís; Whitley, Darrell (Ed.): Parallel Problem Solving from Nature – PPSN XV: 15th International Conference, pp. 399–410, Springer, Coimbra, Portugal, 2018.

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Rehbach, Frederik; Zaefferer, Martin; Stork, Jörg; Bartz-Beielstein, Thomas

Comparison of parallel surrogate-assisted optimization approaches Proceedings Article

In: Aguirre, Hernan (Ed.): Proceedings of the Genetic and Evolutionary Computation Conference - GECCO'18, pp. 1348–1355, ACM, Kyoto, Japan, 2018.

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Stork, Jörg; Zaefferer, Martin; Bartz-Beielstein, Thomas

Distance-based Kernels for Surrogate Model-based Neuroevolution Journal Article

In: arXiv, 2018, (Accepted to the Developmental Neural Networks Workshop at the Parallel Problem Solving from Nature 2018 (PPSN XV) conference. arXiv:1807.07839).

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Zaefferer, Martin; Stork, Jörg; Flasch, Oliver; Bartz-Beielstein, Thomas

Linear Combination of Distance Measures for Surrogate Models in Genetic Programming Proceedings Article

In: Auger, Anne; Fonseca, Carlos M.; Lourenço, Nuno; Machado, Penousal; Paquete, Luís; Whitley, Darrell (Ed.): Parallel Problem Solving from Nature – PPSN XV: 15th International Conference, pp. 220–231, Springer, Coimbra, Portugal, 2018.

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Bartz-Beielstein, Thomas; Zaefferer, Martin; Pham, Quoc Cuong

Optimization via multimodel simulation Journal Article

In: Structural and Multidisciplinary Optimization, vol. 58, no. 3, pp. 919–933, 2018.

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Gentile, Lorenzo; Zaefferer, Martin; Giugliano, Dario; Chen, Haofeng; Bartz-Beielstein, Thomas

Surrogate assisted optimization of particle reinforced metal matrix composites Proceedings Article

In: Aguirre, Hernan (Ed.): Proceedings of the Genetic and Evolutionary Computation Conference - GECCO'18, pp. 1238–1245, ACM, Kyoto, Japan, 2018.

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Zaefferer, Martin

Surrogate Models for Discrete Optimization Problems PhD Thesis

Technische Universität Dortmund, 2018, (urlhttp://dx.doi.org/10.17877/DE290R-19857).

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2017

Bartz-Beielstein, Thomas; Zaefferer, Martin; Rehbach, Frederik

In a Nutshell – The Sequential Parameter Optimization Toolbox Journal Article

In: arXiv, 2017, (arXiv:1712.04076v2).

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Jung, Christian; Zaefferer, Martin; Bartz-Beielstein, Thomas; Rudolph, Günter

Metamodel-based optimization of hot rolling processes in the metal industry Journal Article

In: The International Journal of Advanced Manufacturing Technology, vol. 90, no. 1, pp. 421–435, 2017.

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Bartz-Beielstein, Thomas; Zaefferer, Martin

Model-based Methods for Continuous and Discrete Global Optimization Journal Article

In: Applied Soft Computing, vol. 55, pp. 154 - 167, 2017.

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Zaefferer, Martin; Fischbach, Andreas; Naujoks, Boris; Bartz-Beielstein, Thomas

Simulation Based Test Functions for Optimization Algorithms Proceedings Article

In: Proceedings of the Genetic and Evolutionary Computation Conference 2017, pp. 8, ACM, Berlin, Germany, 2017.

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Zaefferer, Martin

Surrogate Model Based Optimization of the Substrate Feed Mixture of a Biogas Plant Proceedings Article

In: 15th Workshop on Quality Improvement Methods, Dortmund, Germany, 2017.

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

Surrogate-Assisted Learning of Neural Networks Proceedings Article

In: Hoffmann, Frank; Hüllermeier, Eyke; Mikut, Ralf (Ed.): Proceedings 27. Workshop Computational Intelligence, pp. 223–235, KIT Scientific Publishing, Dortmund, Germany, 2017.

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Bartz-Beielstein, Thomas; Zaefferer, Martin; Stork, Jörg; Krey, Sebastian

The Revised Sequential Parameter Optimization Toolbox Miscellaneous

useR!2017 Talk, 2017.

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2016

Chandrasekaran, Sowmya; Zaefferer, Martin; Moritz, Steffen; Stork, Jörg; Friese, Martina; Fischbach, Andreas; Bartz-Beielstein, Thomas

Data Preprocessing: A New Algorithm for Univariate Imputation Designed Specifically for Industrial Needs Proceedings Article

In: Hoffmann, Frank; Hüllermeier, Eyke; Mikut, Ralf (Ed.): Proceedings 26. Workshop Computational Intelligence, pp. 77–95, KIT Scientific Publishing, Dortmund, Germany, 2016.

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Zaefferer, Martin; Bartz-Beielstein, Thomas

Efficient Global Optimization with Indefinite Kernels Proceedings Article

In: Handl, Julia; Hart, Emma; Lewis, Peter R.; López-Ibáñez, Manuel; Ochoa, Gabriela; Paechter, Ben (Ed.): Parallel Problem Solving from Nature – PPSN XIV: 14th International Conference, pp. 69–79, Springer, Edinburgh, UK, 2016.

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86 entries « 1 of 2 »