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@gmx.de

Articles

  • E. Bartz, M. Zaefferer, T. Katagiri, and T. Bartz-Beielstein, “Seillose, lineare Aufzüge und Künstliche Intelligenz,” Transforming cities, iss. 2, p. 12–14, 2020.
    [Bibtex]
    @Article{Bartz2020a,
    author = {Eva Bartz and Martin Zaefferer and Takeshi Katagiri and Thomas Bartz-Beielstein},
    title = {{Seillose, lineare Aufzüge und Künstliche Intelligenz}},
    journal = {Transforming Cities},
    year = {2020},
    number = {2},
    pages = {12--14},
    }
  • [PDF] J. Stork, M. Zaefferer, T. Bartz-Beielstein, and A. E. Eiben, “Understanding the Behavior of Reinforcement Learning Agents,” Easychair preprint, iss. 3342, 2020.
    [Bibtex]
    @Article{Stork2020a,
    author = {J{\"o}rg Stork and Martin Zaefferer and Thomas Bartz-Beielstein and A. E. Eiben},
    title = {{Understanding the Behavior of Reinforcement Learning Agents}},
    journal = {EasyChair Preprint},
    year = {2020},
    number = {3342},
    }
  • [PDF] J. Stork, M. Zaefferer, and T. Bartz-Beielstein, “Distance-based kernels for surrogate model-based neuroevolution,” Arxiv e-prints, 2018.
    [Bibtex]
    @Article{Stork2018a,
    author = {J\"org Stork and Martin Zaefferer and Thomas Bartz-Beielstein},
    title = {Distance-based Kernels for Surrogate Model-based Neuroevolution},
    journal = {ArXiv e-prints},
    year = {2018},
    month = jul,
    note = {Accepted to the Developmental Neural Networks Workshop at the Parallel Problem Solving from Nature 2018 (PPSN XV) conference. ArXiv ID: 1807.07839},
    }
  • [PDF] [DOI] T. Bartz-Beielstein, M. Zaefferer, and Q. C. Pham, “Optimization via multimodel simulation,” Structural and multidisciplinary optimization, vol. 58, iss. 3, p. 919–933, 2018.
    [Bibtex]
    @Article{Bartz-Beielstein2018a,
    author = {Thomas Bartz-Beielstein and Martin Zaefferer and Quoc Cuong Pham},
    title = {Optimization via multimodel simulation},
    journal = {Structural and Multidisciplinary Optimization},
    year = {2018},
    volume = {58},
    number = {3},
    pages = {919--933},
    month = feb,
    comment = {fixed not yet numbered, pages},
    doi = {10.1007/s00158-018-1934-2},
    publisher = {Springer},
    }
  • [PDF] [DOI] M. Zaefferer, T. Bartz-Beielstein, and G. Rudolph, “An empirical approach for probing the definiteness of kernels,” Soft computing, p. 1–14, 2018.
    [Bibtex]
    @Article{Zaefferer2014e,
    author = {Martin Zaefferer and Thomas Bartz-Beielstein and G{\"u}nter Rudolph},
    title = {An Empirical Approach For Probing the Definiteness of Kernels},
    journal = {Soft Computing},
    year = {2018},
    pages = {1--14},
    month = nov,
    doi = {10.1007/s00500-018-3648-1},
    publisher = {Springer},
    }
  • [DOI] T. Bartz-Beielstein and M. Zaefferer, “Model-based methods for continuous and discrete global optimization,” Applied soft computing, vol. 55, pp. 154-167, 2017.
    [Bibtex]
    @Article{Bartz-Beielstein2016n,
    Title = {Model-based Methods for Continuous and Discrete Global Optimization},
    Author = {Thomas Bartz-Beielstein and Martin Zaefferer},
    Journal = {Applied Soft Computing},
    Year = {2017},
    Month = {feb},
    Pages = {154 - 167},
    Volume = {55},
    DOI = {10.1016/j.asoc.2017.01.039},
    Publisher = {Elsevier {BV}},
    URL = {https://doi.org/10.1016%2Fj.asoc.2017.01.039}
    }
  • [PDF] [DOI] C. Jung, M. Zaefferer, T. Bartz-Beielstein, and G. Rudolph, “Metamodel-based optimization of hot rolling processes in the metal industry,” The international journal of advanced manufacturing technology, vol. 90, iss. 1, p. 421–435, 2017.
    [Bibtex]
    @Article{Jung2016,
    Title = {Metamodel-based optimization of hot rolling processes in the metal industry},
    Author = {Christian Jung and Martin Zaefferer and Thomas Bartz-Beielstein and G{\"u}nter Rudolph},
    Journal = {The International Journal of Advanced Manufacturing Technology},
    Year = {2017},
    Number = {1},
    Pages = {421--435},
    Volume = {90},
    DOI = {10.1007/s00170-016-9386-6},
    Publisher = {Springer Nature},
    URL = {http://dx.doi.org/10.1007/s00170-016-9386-6}
    }
  • [PDF] [DOI] M. Zaefferer, D. Gaida, and T. Bartz-Beielstein, “Multi-fidelity modeling and optimization of biogas plants,” Applied soft computing, vol. 48, p. 13–28, 2016.
    [Bibtex]
    @Article{Zaefferer2016a,
    Title = {Multi-fidelity modeling and optimization of biogas plants },
    Author = {Martin Zaefferer and Daniel Gaida and Thomas Bartz-Beielstein},
    Journal = {Applied Soft Computing },
    Year = {2016},
    Pages = {13--28},
    Volume = {48},
    DOI = {http://dx.doi.org/10.1016/j.asoc.2016.05.047},
    ISSN = {1568-4946},
    Keywords = {Biogas plant},
    URL = {http://www.sciencedirect.com/science/article/pii/S1568494616302575}
    }

In Collections

  • [DOI] T. Chugh, A. Rahat, V. Volz, and M. Zaefferer, “Towards better integration of surrogate models and optimizers,” in High-performance simulation-based optimization, Springer international publishing, 2019, p. 137–163.
    [Bibtex]
    @InCollection{Chugh2019a,
    author = {Tinkle Chugh and Alma Rahat and Vanessa Volz and Martin Zaefferer},
    title = {Towards Better Integration of Surrogate Models and Optimizers},
    booktitle = {High-Performance Simulation-Based Optimization},
    publisher = {Springer International Publishing},
    year = {2019},
    pages = {137--163},
    month = {jun},
    doi = {10.1007/978-3-030-18764-4_7},
    }
  • [DOI] J. Stork, M. Friese, M. Zaefferer, T. Bartz-Beielstein, A. Fischbach, B. Breiderhoff, B. Naujoks, and T. Tušar, “Open issues in surrogate-assisted optimization,” in High-performance simulation-based optimization, Springer international publishing, 2019, p. 225–244.
    [Bibtex]
    @InCollection{Stork2019b,
    author = {Jörg Stork and Martina Friese and Martin Zaefferer and Thomas Bartz-Beielstein and Andreas Fischbach and Beate Breiderhoff and Boris Naujoks and Tea Tu{\v{s}}ar},
    title = {Open Issues in Surrogate-Assisted Optimization},
    booktitle = {High-Performance Simulation-Based Optimization},
    publisher = {Springer International Publishing},
    year = {2019},
    pages = {225--244},
    month = {jun},
    doi = {10.1007/978-3-030-18764-4_10},
    }
  • [PDF] [DOI] J. Stork, M. Zaefferer, and T. Bartz-Beielstein, “Improving NeuroEvolution efficiency by surrogate model-based optimization with phenotypic distance kernels,” in Applications of evolutionary computation, Springer international publishing, 2019, p. 504–519.
    [Bibtex]
    @InCollection{Stork2019c,
    author = {Jörg Stork and Martin Zaefferer and Thomas Bartz-Beielstein},
    title = {Improving {NeuroEvolution} Efficiency by Surrogate Model-Based Optimization with Phenotypic Distance Kernels},
    booktitle = {Applications of Evolutionary Computation},
    publisher = {Springer International Publishing},
    year = {2019},
    pages = {504--519},
    doi = {10.1007/978-3-030-16692-2_34},
    }
  • [DOI] C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M. G. Epitropakis, C. M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P. K. Lehre, L. Malagò, J. J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley, and M. Zaefferer, “Tutorials at ppsn 2016,” in Parallel problem solving from nature – ppsn xiv: 14th international conference, edinburgh, uk, september 17-21, 2016, proceedings, J. Handl, E. Hart, P. R. Lewis, M. López-Ibáñez, G. Ochoa, and B. Paechter, Eds., Springer international publishing, 2016, p. 1012–1022.
    [Bibtex]
    @InCollection{Doerr2016,
    Title = {Tutorials at PPSN 2016},
    Author = {Doerr, Carola and Bredeche, Nicolas and Alba, Enrique and Bartz-Beielstein, Thomas and Brockhoff, Dimo and Doerr, Benjamin and Eiben, Gusz and Epitropakis, Michael G. and Fonseca, Carlos M. and Guerreiro, Andreia and Haasdijk, Evert and Heinerman, Jacqueline and Hubert, Julien and Lehre, Per Kristian and Malag{\`o}, Luigi and Merelo, J. J. and Miller, Julian and Naujoks, Boris and Oliveto, Pietro and Picek, Stjepan and Pillay, Nelishia and Preuss, Mike and Ryser-Welch, Patricia and Squillero, Giovanni and Stork, J{\"o}rg and Sudholt, Dirk and Tonda, Alberto and Whitley, Darrell and Zaefferer, Martin},
    Booktitle = {Parallel Problem Solving from Nature -- PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings},
    Publisher = {Springer International Publishing},
    Year = {2016},
    Editor = {Handl, Julia and Hart, Emma and Lewis, Peter R. and L{\'o}pez-Ib{\'a}{\~{n}}ez, Manuel and Ochoa, Gabriela and Paechter, Ben},
    Pages = {1012--1022},
    DOI = {10.1007/978-3-319-45823-6_95},
    ISBN = {978-3-319-45823-6},
    URL = {http://dx.doi.org/10.1007/978-3-319-45823-6_95}
    }
  • [PDF] T. Bartz-Beielstein, C. Jung, and M. Zaefferer, “Uncertainty management using sequential parameter optimization,” in Uncertainty management in simulation-optimization of complex systems: algorithms and applications, C. Meloni and G. Dellino, Eds., Springer, 2015, vol. 59.
    [Bibtex]
    @InCollection{Bartz-Beielstein2013i,
    Title = {Uncertainty Management Using Sequential Parameter Optimization},
    Author = {Bartz-Beielstein, Thomas and Jung, Christian and Zaefferer, Martin},
    Booktitle = {Uncertainty Management in Simulation-Optimization of Complex Systems: Algorithms and Applications},
    Publisher = {Springer},
    Year = {2015},
    Editor = {Meloni, Carlo and Dellino, Gabriella},
    Series = {Springer Series on Operations Research/Computer Science Interfaces},
    Volume = {59}
    }

In Proceedings

  • [PDF] [DOI] F. Rehbach, M. Zaefferer, B. Naujoks, and T. Bartz-Beielstein, “Expected improvement versus predicted value in surrogate-based optimization,” in Proceedings of the 2020 genetic and evolutionary computation conference, Cancun, Mexico, 2020, p. 868–876.
    [Bibtex]
    @InProceedings{Rehbach2020a,
    author = {Frederik Rehbach and Martin Zaefferer and Boris Naujoks and Thomas Bartz-Beielstein},
    title = {Expected improvement versus predicted value in surrogate-based optimization},
    booktitle = {Proceedings of the 2020 Genetic and Evolutionary Computation Conference},
    year = {2020},
    pages = {868--876},
    address = {Cancun, Mexico},
    month = jul,
    publisher = {{ACM}},
    doi = {10.1145/3377930.3389816},
    }
  • [PDF] M. Zaefferer and F. Rehbach, “Continuous optimization benchmarks by simulation,” in Parallel problem solving from nature – PPSN XVI: 16th international conference, 2020.
    [Bibtex]
    @InProceedings{Zaefferer2020b,
    author = {Martin Zaefferer and Frederik Rehbach},
    title = {Continuous Optimization Benchmarks by Simulation},
    booktitle = {Parallel Problem Solving from Nature {\textendash} {PPSN} {XVI}: 16th International Conference},
    year = {2020},
    volume = {12269},
    series = {Lecture Notes in Computer Science},
    publisher = {Springer},
    }
  • [PDF] [DOI] J. Stork, M. Zaefferer, T. Bartz-Beielstein, and A. E. Eiben, “Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning,” in Proceedings of the genetic and evolutionary computation conference – GECCO’19, Prague, Czech Republic, 2019, p. 934–942.
    [Bibtex]
    @InProceedings{Stork2019a,
    author = {Stork, J\"{o}rg and Zaefferer, Martin and Bartz-Beielstein, Thomas and Eiben, A. E.},
    title = {Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning},
    booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference - {GECCO}'19},
    year = {2019},
    editor = {L\'{o}pez-Ib\'{a}\~{n}ez, Manuel},
    series = {GECCO '19},
    pages = {934--942},
    address = {Prague, Czech Republic},
    publisher = {ACM},
    __markedentry = {[Martin:]},
    acmid = {3321829},
    doi = {10.1145/3321707.3321829},
    file = {:PDFswebsite/stork2019a.pdf:PDF},
    isbn = {978-1-4503-6111-8},
    keywords = {neuroevolution, reinforcement learning, surrogate models},
    location = {Prague, Czech Republic},
    numpages = {9},
    url = {http://doi.acm.org/10.1145/3321707.3321829},
    }
  • [PDF] [DOI] A. Hagg, M. Zaefferer, J. Stork, and A. Gaier, “Prediction of neural network performance by phenotypic modeling,” in Proceedings of the genetic and evolutionary computation conference companion – GECCO’19, Prague, Czech Republic, 2019, p. 1576–1582.
    [Bibtex]
    @InProceedings{Hagg2019a,
    author = {Hagg, Alexander and Zaefferer, Martin and Stork, J\"{o}rg and Gaier, Adam},
    title = {Prediction of Neural Network Performance by Phenotypic Modeling},
    booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion - {GECCO}'19},
    year = {2019},
    editor = {L\'{o}pez-Ib\'{a}\~{n}ez, Manuel},
    series = {GECCO '19},
    pages = {1576--1582},
    address = {Prague, Czech Republic},
    publisher = {ACM},
    __markedentry = {[Martin:]},
    acmid = {3326815},
    doi = {10.1145/3319619.3326815},
    isbn = {978-1-4503-6748-6},
    keywords = {distance metrics, neural networks, surrogate models},
    location = {Prague, Czech Republic},
    numpages = {7},
    url = {http://doi.acm.org/10.1145/3319619.3326815},
    }
  • [PDF] [DOI] D. Horn, J. Stork, N. Schü{ssl}er, and M. Zaefferer, “Surrogates for hierarchical search spaces: the wedge-kernel and an automated analysis,” in Proceedings of the genetic and evolutionary computation conference – GECCO’19, Prague, Czech Republic, 2019, p. 916–924.
    [Bibtex]
    @InProceedings{Horn2019a,
    author = {Horn, Daniel and Stork, J\"{o}rg and Sch\"{u}{\ssl}er, Nils-Jannik and Zaefferer, Martin},
    title = {Surrogates for Hierarchical Search Spaces: The Wedge-kernel and an Automated Analysis},
    booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference - {GECCO}'19},
    year = {2019},
    editor = {L\'{o}pez-Ib\'{a}\~{n}ez, Manuel},
    series = {GECCO '19},
    pages = {916--924},
    address = {Prague, Czech Republic},
    publisher = {ACM},
    acmid = {3321765},
    doi = {10.1145/3321707.3321765},
    file = {:PDFswebsite/horn2019a.pdf:PDF},
    isbn = {978-1-4503-6111-8},
    keywords = {conditional variables, hierarchical search spaces, kernel, surrogate model-based optimization},
    location = {Prague, Czech Republic},
    numpages = {9},
    url = {http://doi.acm.org/10.1145/3321707.3321765},
    }
  • [PDF] [DOI] M. Zaefferer and D. Horn, “A first analysis of kernels for kriging-based optimization in hierarchical search spaces,” in Parallel problem solving from nature – PPSN XV: 15th international conference, Coimbra, Portugal, 2018, p. 399–410.
    [Bibtex]
    @InProceedings{Zaefferer2018a,
    author = {Martin Zaefferer and Daniel Horn},
    title = {A First Analysis of Kernels for Kriging-Based Optimization in Hierarchical Search Spaces},
    booktitle = {Parallel Problem Solving from Nature {\textendash} {PPSN} {XV}: 15th International Conference},
    year = {2018},
    editor = {Anne Auger and Carlos M. Fonseca and Nuno Louren\c{c}o and Penousal Machado and Lu\'{i}s Paquete and Darrell Whitley},
    volume = {11102},
    series = {Lecture Notes in Computer Science},
    pages = {399--410},
    address = {Coimbra, Portugal},
    month = sep,
    publisher = {Springer},
    doi = {10.1007/978-3-319-99259-4_32},
    }
  • [PDF] [DOI] L. Gentile, M. Zaefferer, D. Giugliano, H. Chen, and T. Bartz-Beielstein, “Surrogate assisted optimization of particle reinforced metal matrix composites,” in Proceedings of the genetic and evolutionary computation conference – GECCO’18, Kyoto, Japan, 2018, p. 1238–1245.
    [Bibtex]
    @InProceedings{Gentile2018b,
    author = {Lorenzo Gentile and Martin Zaefferer and Dario Giugliano and Haofeng Chen and Thomas Bartz-Beielstein},
    title = {Surrogate assisted optimization of particle reinforced metal matrix composites},
    booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference - {GECCO}'18},
    year = {2018},
    editor = {Hernan Aguirre},
    pages = {1238--1245},
    address = {Kyoto, Japan},
    month = jul,
    publisher = {ACM},
    doi = {10.1145/3205455.3205574},
    }
  • [PDF] [DOI] F. Rehbach, M. Zaefferer, J. Stork, and T. Bartz-Beielstein, “Comparison of parallel surrogate-assisted optimization approaches,” in Proceedings of the genetic and evolutionary computation conference – GECCO’18, Kyoto, Japan, 2018, p. 1348–1355.
    [Bibtex]
    @InProceedings{Rehbach2017a,
    author = {Frederik Rehbach and Martin Zaefferer and J{\"o}rg Stork and Thomas Bartz-Beielstein},
    title = {Comparison of parallel surrogate-assisted optimization approaches},
    booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference - {GECCO}'18},
    year = {2018},
    editor = {Hernan Aguirre},
    pages = {1348--1355},
    address = {Kyoto, Japan},
    month = jul,
    publisher = {ACM},
    doi = {10.1145/3205455.3205587},
    }
  • [PDF] [DOI] M. Zaefferer, J. Stork, O. Flasch, and T. Bartz-Beielstein, “Linear combination of distance measures for surrogate models in genetic programming,” in Parallel problem solving from nature – PPSN XV: 15th international conference, Coimbra, Portugal, 2018, p. 220–231.
    [Bibtex]
    @InProceedings{Zaefferer2018b,
    author = {Martin Zaefferer and J{\"o}rg Stork and Oliver Flasch and Thomas Bartz-Beielstein},
    title = {Linear Combination of Distance Measures for Surrogate Models in Genetic Programming},
    booktitle = {Parallel Problem Solving from Nature {\textendash} {PPSN} {XV}: 15th International Conference},
    year = {2018},
    editor = {Anne Auger and Carlos M. Fonseca and Nuno Louren\c{c}o and Penousal Machado and Lu\'{i}s Paquete and Darrell Whitley},
    volume = {11102},
    series = {Lecture Notes in Computer Science},
    pages = {220--231},
    address = {Coimbra, Portugal},
    month = sep,
    publisher = {Springer},
    doi = {10.1007/978-3-319-99259-4_18},
    }
  • [PDF] [DOI] M. Zaefferer, A. Fischbach, B. Naujoks, and T. Bartz-Beielstein, “Simulation based test functions for optimization algorithms,” in Proceedings of the genetic and evolutionary computation conference 2017, Berlin, Germany, 2017, p. 8.
    [Bibtex]
    @InProceedings{Zaefferer2017a,
    Title = {Simulation Based Test Functions for Optimization Algorithms},
    Author = {Martin Zaefferer and Andreas Fischbach and Boris Naujoks and Thomas Bartz-Beielstein},
    Booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference 2017},
    Year = {2017},
    Address = {Berlin, Germany},
    Month = {july},
    Pages = {8},
    Publisher = {ACM},
    DOI = {http://dx.doi.org/10.1145/3071178.3071190}
    }
  • M. Zaefferer, “Surrogate model based optimization of the substrate feed mixture of a biogas plant,” in 15th workshop on quality improvement methods, Dortmund, 2017.
    [Bibtex]
    @InProceedings{Zaefferer2017e,
    author = {Martin Zaefferer},
    title = {Surrogate Model Based Optimization of the Substrate Feed Mixture of a Biogas Plant},
    booktitle = {15th Workshop on Quality Improvement Methods},
    year = {2017},
    address = {Dortmund},
    }
  • [PDF] J. Stork, M. Zaefferer, A. Fischbach, and T. Bartz-Beielstein, “Surrogate-assisted learning of neural networks,” in Proceedings 27. workshop computational intelligence, Dortmund, Germany, 2017, p. 223–235.
    [Bibtex]
    @InProceedings{Stork2017c,
    author = {J{\"o}rg Stork and Martin Zaefferer and Andreas Fischbach and Thomas Bartz-Beielstein},
    title = {Surrogate-Assisted Learning of Neural Networks},
    booktitle = {Proceedings 27. Workshop Computational Intelligence},
    year = {2017},
    editor = {Hoffmann, Frank and H{\"u}llermeier, Eyke and Mikut, Ralf},
    pages = {223--235},
    address = {Dortmund, Germany},
    publisher = {{KIT} Scientific Publishing},
    }
  • [PDF] A. Fischbach, M. Zaefferer, J. Stork, M. Friese, and T. Bartz-Beielstein, “From real world data to test functions,” in Proceedings. 26. workshop computational intelligence, Dortmund, 2016, p. 159–177.
    [Bibtex]
    @InProceedings{Fischbach2016a,
    Title = {From Real World Data to Test Functions},
    Author = {Andreas Fischbach and Martin Zaefferer and J{\"o}rg Stork and Martina Friese and Thomas Bartz-Beielstein},
    Booktitle = {Proceedings. 26. Workshop Computational Intelligence},
    Year = {2016},
    Address = {Dortmund},
    Editor = {Frank Hoffmann and Eyke H{\"u}llermeier and Ralf Mikut},
    Pages = {159--177},
    Publisher = {KIT Scientific Publishing}
    }
  • [PDF] M. Zaefferer and T. Bartz-Beielstein, “Efficient global optimization with indefinite kernels,” in Parallel problem solving from nature – PPSN XIV: 14th international conference, Edinburgh, UK, 2016, p. 69–79.
    [Bibtex]
    @InProceedings{Zaefferer2016b,
    author = {Zaefferer, Martin and Bartz-Beielstein, Thomas},
    title = {Efficient Global Optimization with Indefinite Kernels},
    booktitle = {Parallel Problem Solving from Nature {\textendash} {PPSN} {XIV}: 14th International Conference},
    year = {2016},
    editor = {Handl, Julia and Hart, Emma and Lewis, Peter R. and L{\'o}pez-Ib{\'a}{\~{n}}ez, Manuel and Ochoa, Gabriela and Paechter, Ben},
    volume = {9921},
    series = {Lecture Notes in Computer Science},
    pages = {69--79},
    address = {Edinburgh, UK},
    publisher = {Springer},
    }
  • [PDF] S. Chandrasekaran, M. Zaefferer, S. Moritz, J. Stork, M. Friese, A. Fischbach, and T. Bartz-Beielstein, “Data preprocessing: a new algorithm for univariate imputation designed specifically for industrial needs,” in Proceedings. 26. workshop computational intelligence, dortmund, 24. – 25. November 2016, Dortmund, 2016, p. 77–95.
    [Bibtex]
    @InProceedings{Chandrasekaran2016,
    Title = {Data Preprocessing: A New Algorithm for Univariate Imputation Designed Specifically for Industrial Needs},
    Author = {Sowmya Chandrasekaran and Martin Zaefferer and Steffen Moritz and J{\"o}rg Stork and Martina Friese and Andreas Fischbach and Thomas Bartz-Beielstein},
    Booktitle = {Proceedings. 26. Workshop Computational Intelligence, Dortmund, 24. - 25. {November} 2016},
    Year = {2016},
    Address = {Dortmund},
    Editor = {Frank Hoffmann and Eyke H{\"u}llermeier and Ralf Mikut},
    Pages = {77--95},
    Publisher = {KIT Scientific Publishing}
    }
  • [PDF] A. Fischbach, J. Stork, M. Zaefferer, S. Krey, and T. Bartz-Beielstein, “Analyzing capabilities of latin hypercube designs compared to classical experimental design methods,” in 25. workshop computational intelligence dortmund, 2015.
    [Bibtex]
    @InProceedings{Fischbach2015a,
    Title = {Analyzing Capabilities of Latin Hypercube Designs Compared to Classical experimental Design Methods},
    Author = {Andreas Fischbach and J{\"o}rg Stork and Martin Zaefferer and Sebastian Krey and Thomas Bartz-Beielstein},
    Booktitle = {25. Workshop Computational Intelligence Dortmund},
    Year = {2015}
    }
  • [PDF] M. Zaefferer, J. Stork, M. Friese, A. Fischbach, B. Naujoks, and T. Bartz-Beielstein, “Efficient global optimization for combinatorial problems,” in Proceedings of the 2014 annual conference on genetic and evolutionary computation (gecco’14), Vancouver, BC, Canada, 2014, p. 871–878.
    [Bibtex]
    @InProceedings{Zaefferer2014b,
    author = {Zaefferer, Martin and Stork, J\"{o}rg and Friese, Martina and Fischbach, Andreas and Naujoks, Boris and Bartz-Beielstein, Thomas},
    title = {Efficient Global Optimization for Combinatorial Problems},
    booktitle = {Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation (GECCO'14)},
    year = {2014},
    editor = {Christian Igel},
    pages = {871--878},
    address = {Vancouver, BC, Canada},
    month = jul,
    publisher = {ACM},
    comment = {fixed},
    file = {:PDFswebsite/zaefferer2014b.pdf:PDF},
    groups = {Surrogate Model Optimization, Combinatorial Optimization, Combinatorial Surrogate Optimization, Participated},
    keywords = {distance measure, efficient global optimization, gaussian processes, genetic algorithm, kriging, surrogate model-based optimization},
    numpages = {8},
    owner = {Martin},
    }
  • [PDF] S. Moritz, T. Bartz-Beielstein, O. Mersmann, M. Zaefferer, and J. Stork, “Does imputation work for improvement of domestic hot water usage prediction?,” in Proceedings. 24. workshop computational intelligence, dortmund, 27.-28. november 2014, 2014, p. 205–222.
    [Bibtex]
    @InProceedings{Moritz2014a,
    author = {Moritz, Steffen and Bartz-Beielstein, Thomas and Mersmann, Olaf and Zaefferer, Martin and Stork, J{\"o}rg},
    title = {Does imputation work for improvement of domestic hot water usage prediction?},
    booktitle = {Proceedings. 24. Workshop Computational Intelligence, Dortmund, 27.-28. November 2014},
    year = {2014},
    editor = {Hoffmann, Frank and H{\"u}llermeier, Eyke},
    pages = {205--222},
    publisher = {KIT Scientific Publishing},
    }
  • [PDF] J. Stork, A. Fischbach, T. Bartz-Beielstein, and M. Zaefferer, “Boosting parameter-tuning efficiency with adaptive experimental designs,” in Proceedings 24. workshop computational intelligence, 2014, p. 223–235.
    [Bibtex]
    @InProceedings{Stork2014a,
    Title = {Boosting Parameter-Tuning Efficiency with Adaptive Experimental Designs},
    Author = {J{\"o}rg Stork and Andreas Fischbach and Thomas Bartz-Beielstein and Martin Zaefferer},
    Booktitle = {Proceedings 24. Workshop Computational Intelligence},
    Year = {2014},
    Editor = {Hoffmann, Frank and H{\"u}llermeier, Eyke},
    Pages = {223--235},
    Publisher = {{KIT} Scientific Publishing}
    }
  • [PDF] M. Zaefferer, B. Breiderhoff, B. Naujoks, M. Friese, J. Stork, A. Fischbach, O. Flasch, and T. Bartz-Beielstein, “Tuning multi-objective optimization algorithms for cyclone dust separators,” in Proceedings of the 2014 annual conference on genetic and evolutionary computation (gecco’14), Vancouver, BC, Canada, 2014, p. 1223–1230.
    [Bibtex]
    @InProceedings{Zaefferer2014a,
    author = {Zaefferer, Martin and Breiderhoff, Beate and Naujoks, Boris and Friese, Martina and Stork, J\"{o}rg and Fischbach, Andreas and Flasch, Oliver and Bartz-Beielstein, Thomas},
    title = {Tuning Multi-objective Optimization Algorithms for Cyclone Dust Separators},
    booktitle = {Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation (GECCO'14)},
    year = {2014},
    editor = {Christian Igel},
    pages = {1223--1230},
    address = {Vancouver, BC, Canada},
    month = jul,
    publisher = {ACM},
    comment = {fixed},
    file = {:Zaefferer2014a.pdf:PDF},
    groups = {Cyclone, Evolutionary Algorithms, Surrogate Model Optimization, MCO, Participated},
    keywords = {cyclone optimization problem, evolutionary multi-objective optimization, parameter tuning},
    numpages = {8},
    owner = {Martin},
    timestamp = {2015.03.05},
    }
  • [PDF] M. Zaefferer, J. Stork, and T. Bartz-Beielstein, “Distance measures for permutations in combinatorial efficient global optimization,” in Parallel problem solving from nature – PPSN XIII: 13th international conference, Ljubljana, Slovenia, 2014, p. 373–383.
    [Bibtex]
    @InProceedings{Zaefferer2014c,
    author = {Zaefferer, Martin and Stork, J{\"o}rg and Bartz-Beielstein, Thomas},
    title = {Distance Measures for Permutations in Combinatorial Efficient Global Optimization},
    booktitle = {Parallel Problem Solving from Nature {\textendash} {PPSN} {XIII}: 13th International Conference},
    year = {2014},
    editor = {Bartz-Beielstein, Thomas and Branke, J{\"u}rgen and Filipi{\v c}, Bogdan and Smith, Jim},
    volume = {8672},
    series = {Lecture Notes in Computer Science},
    pages = {373--383},
    address = {Ljubljana, Slovenia},
    publisher = {Springer},
    }
  • [PDF] M. Zaefferer, T. Bartz-Beielstein, B. Naujoks, T. Wagner, and M. Emmerich, “A case study on multi-criteria optimization of an event detection software under limited budgets,” in Evolutionary multi-criterion optimization, Berlin, Heidelberg, Germany, 2013, p. 756–770.
    [Bibtex]
    @InProceedings{Zaefferer2013a,
    Title = {A Case Study on Multi-Criteria Optimization of an Event Detection Software under Limited Budgets},
    Author = {Zaefferer, Martin and Bartz-Beielstein, Thomas and Naujoks, Boris and Wagner, Tobias and Emmerich, Michael},
    Booktitle = {Evolutionary Multi-Criterion Optimization},
    Year = {2013},
    Address = {Berlin, Heidelberg, Germany},
    Editor = {Purshouse, Robin C. and Fleming, Peter J. and Fonseca, Carlos M. and Greco, Salvatore and Shaw, Jane},
    Pages = {756--770},
    Publisher = {Springer},
    Series = {Lecture Notes in Computer Science}
    }
  • [PDF] B. Breiderhoff, T. Bartz-Beielstein, B. Naujoks, M. Zaefferer, A. Fischbach, O. Flasch, M. Friese, O. Mersmann, and J. Stork, “Simulation and optimization of cyclone dust separators,” in Proceedings 23. workshop computational intelligence, 2013, p. 177–196.
    [Bibtex]
    @InProceedings{Breiderhoff2013,
    Title = {Simulation and Optimization of Cyclone Dust Separators},
    Author = {Beate Breiderhoff and Thomas Bartz-Beielstein and Boris Naujoks and Martin Zaefferer and Andreas Fischbach and Oliver Flasch and Martina Friese and Olaf Mersmann and J{\"o}rg Stork},
    Booktitle = {Proceedings 23. Workshop Computational Intelligence},
    Year = {2013},
    Editor = {Hoffmann, Frank and H{\"u}llermeier, Eyke},
    Pages = {177--196}
    }
  • [PDF] O. Flasch, M. Friese, K. Vladislavleva, T. Bartz-Beielstein, O. Mersmann, B. Naujoks, J. Stork, and M. Zaefferer, “Comparing Ensemble-based Forecasting Methods for Smart-Metering Data,” in Conference on applications of evolutionary computation (evoapplications), Berlin, Heidelberg, Germany, 2013.
    [Bibtex]
    @InProceedings{Flasch2012d,
    Title = {{Comparing Ensemble-based Forecasting Methods for Smart-Metering Data}},
    Author = {Oliver Flasch and Martina Friese and Katya Vladislavleva and Thomas Bartz-Beielstein and Olaf Mersmann and Boris Naujoks and Joerg Stork and Martin Zaefferer},
    Booktitle = {Conference on Applications of Evolutionary Computation (EvoApplications)},
    Year = {2013},
    Address = {Berlin, Heidelberg, Germany},
    Publisher = {Springer}
    }
  • [PDF] T. Bartz-Beielstein, M. Zaefferer, and B. Naujoks, “How to create meaningful and generalizable results,” in Proceedings of the 15th annual conference companion on genetic and evolutionary computation, New York, NY, USA, 2013, p. 979–1004.
    [Bibtex]
    @InProceedings{Bartz-Beielstein2013,
    Title = {How to Create Meaningful and Generalizable Results},
    Author = {Bartz-Beielstein, Thomas and Zaefferer, Martin and Naujoks, Boris},
    Booktitle = {Proceedings of the 15th Annual Conference Companion on Genetic and Evolutionary Computation},
    Year = {2013},
    Address = {New York, NY, USA},
    Pages = {979--1004},
    Publisher = {ACM},
    Series = {GECCO '13 Companion},
    Keywords = {mixed effect models, sequential parameter optimization},
    Location = {Amsterdam, The Netherlands},
    Numpages = {26}
    }
  • [PDF] T. Bartz-Beielstein, O. Flasch, and M. Zaefferer, “Sequential parameter optimization for symbolic regression,” in Proceedings of the 14th annual conference companion on genetic and evolutionary computation, Philadelphia, Pennsylvania, USA, 2012, p. 495–496.
    [Bibtex]
    @InProceedings{Bartz-Beielstein2012,
    Title = {Sequential Parameter Optimization for Symbolic Regression},
    Author = {Thomas Bartz-Beielstein and Oliver Flasch and Martin Zaefferer},
    Booktitle = {Proceedings of the 14th annual conference companion on Genetic and evolutionary computation},
    Year = {2012},
    Address = {Philadelphia, Pennsylvania, USA},
    Editor = {Steven Gustafson and Ekaterina Vladislavleva},
    Month = {July},
    Pages = {495--496},
    Publisher = {ACM},
    Organisation = {SIGEVO},
    Publisher_address = {New York, NY, USA}
    }
  • [PDF] M. Zaefferer, B. Naujoks, T. Bartz-Beielstein, M. Friese, O. Mersmann, and O. Flasch, “Mehrkriterielle sequentielle Parameteroptimierung für Anwendungsprobleme mit stark limitiertem Budget,” in Proceedings 22. workshop computational intelligence, 2012, p. 385–400.
    [Bibtex]
    @InProceedings{Zaefferer2012c,
    Title = {{Mehrkriterielle sequentielle Parameteroptimierung f{\"u}r Anwendungsprobleme mit stark limitiertem Budget}},
    Author = {Martin Zaefferer and Boris Naujoks and Thomas Bartz-Beielstein and Martina Friese and Olaf Mersmann and Oliver Flasch},
    Booktitle = {Proceedings 22. Workshop Computational Intelligence},
    Year = {2012},
    Pages = {385--400}
    }
  • [PDF] M. Zaefferer, T. Bartz-Beielstein, M. Friese, B. Naujoks, and O. Flasch, “Multi-criteria optimization for hard problems under limited budgets,” in Proceedings of the 14th annual conference companion on genetic and evolutionary computation, New York, NY, USA, 2012, p. 1451–1452.
    [Bibtex]
    @InProceedings{Zaefferer2012a,
    Title = {Multi-criteria Optimization for Hard Problems Under Limited Budgets},
    Author = {Zaefferer, Martin and Bartz-Beielstein, Thomas and Friese, Martina and Naujoks, Boris and Flasch, Oliver},
    Booktitle = {Proceedings of the 14th Annual Conference Companion on Genetic and Evolutionary Computation},
    Year = {2012},
    Address = {New York, NY, USA},
    Pages = {1451--1452},
    Publisher = {ACM},
    Series = {GECCO '12},
    Keywords = {multi-criteria optimization, robustness, sequential parameter optimization},
    Location = {Philadelphia, Pennsylvania, USA},
    Numpages = {2}
    }
  • [PDF] M. Friese, T. Bartz-Beielstein, K. Vladislavleva, O. Flasch, O. Mersmann, B. Naujoks, M. Zaefferer, and J. Stork, “Ensemble-Based Model Selection for Smart Metering Data,” in Proceedings 22. workshop computational intelligence, 2012, p. 215–228.
    [Bibtex]
    @InProceedings{Friese2012c,
    Title = {{Ensemble-Based Model Selection for Smart Metering Data}},
    Author = {Martina Friese and Thomas Bartz-Beielstein and Katya Vladislavleva and Oliver Flasch and Olaf Mersmann and Boris Naujoks and Martin Zaefferer and J{\"o}rg Stork},
    Booktitle = {Proceedings 22. Workshop Computational Intelligence},
    Year = {2012},
    Pages = {215--228}
    }
  • [PDF] T. Bartz-Beielstein, M. Preuß, and M. Zaefferer, “Statistical analysis of optimization algorithms with r,” in Proceedings of the 14th annual conference companion on genetic and evolutionary computation, New York, NY, USA, 2012, p. 1259–1286.
    [Bibtex]
    @InProceedings{Bartz-Beielstein2012f,
    Title = {Statistical Analysis of Optimization Algorithms with R},
    Author = {Bartz-Beielstein, Thomas and Preu\ss, Mike and Zaefferer, Martin},
    Booktitle = {Proceedings of the 14th Annual Conference Companion on Genetic and Evolutionary Computation},
    Year = {2012},
    Address = {New York, NY, USA},
    Pages = {1259--1286},
    Publisher = {ACM},
    Series = {GECCO '12},
    Keywords = {algorithm tuning, optimization, statistics},
    Location = {Philadelphia, Pennsylvania, USA},
    Numpages = {28}
    }
  • [PDF] T. Bartz-Beielstein, M. Friese, B. Naujoks, and M. Zaefferer, “Spot applied to non-stochastic optimization problems: an experimental study,” in Proceedings of the 14th annual conference companion on genetic and evolutionary computation, New York, NY, USA, 2012, p. 645–646.
    [Bibtex]
    @InProceedings{Bartz-Beielstein2012d,
    Title = {SPOT Applied to Non-stochastic Optimization Problems: An Experimental Study},
    Author = {Bartz-Beielstein, Thomas and Friese, Martina and Naujoks, Boris and Zaefferer, Martin},
    Booktitle = {Proceedings of the 14th Annual Conference Companion on Genetic and Evolutionary Computation},
    Year = {2012},
    Address = {New York, NY, USA},
    Pages = {645--646},
    Publisher = {ACM},
    Series = {GECCO '12},
    Keywords = {sequential parameter optimization},
    Location = {Philadelphia, Pennsylvania, USA},
    Numpages = {2}
    }
  • [PDF] P. Koch, W. Konen, B. Naujoks, O. Flasch, M. Friese, M. Zaefferer, and T. Bartz-Beielstein, “Tuned Data Mining in R,” in Proceedings 21. workshop computational intelligence, 2011, p. 147–160.
    [Bibtex]
    @InProceedings{Koch2011b,
    Title = {{Tuned Data Mining in {R}}},
    Author = {Patrick Koch and Wolfgang Konen and Boris Naujoks and Oliver Flasch and Martina Friese and Martin Zaefferer and Thomas Bartz-Beielstein},
    Booktitle = {Proceedings 21. Workshop Computational Intelligence},
    Year = {2011},
    Editor = {Hoffmann, Frank and H{\"u}llermeier, Eyke},
    Pages = {147--160},
    Publisher = {Universit{\"a}tsverlag Karlsruhe}
    }
  • [PDF] M. Friese, M. Zaefferer, T. Bartz-Beielstein, O. Flasch, P. Koch, W. Konen, and B. Naujoks, “Ensemble Based Optimization and Tuning Algorithms,” in Proceedings 21. workshop computational intelligence, 2011, p. 119–134.
    [Bibtex]
    @InProceedings{Friese2011a,
    Title = {{Ensemble Based Optimization and Tuning Algorithms}},
    Author = {Martina Friese and Martin Zaefferer and Thomas Bartz-Beielstein and Oliver Flasch and Patrick Koch and Wolfgang Konen and Boris Naujoks},
    Booktitle = {Proceedings 21. Workshop Computational Intelligence},
    Year = {2011},
    Editor = {Hoffmann, Frank and H{\"u}llermeier, Eyke},
    Pages = {119--134},
    Publisher = {Universit{\"a}tsverlag Karlsruhe}
    }
  • [PDF] T. Bartz-Beielstein, M. Friese, M. Zaefferer, B. Naujoks, O. Flasch, W. Konen, and P. Koch, “Noisy optimization with sequential parameter optimization and optimal computational budget allocation,” in Proceedings of the 13th annual conference companion on genetic and evolutionary computation, New York, NY, USA, 2011, p. 119–120.
    [Bibtex]
    @InProceedings{Bartz-Beielstein2011b,
    Title = {Noisy Optimization with Sequential Parameter Optimization and Optimal Computational Budget Allocation},
    Author = {Bartz-Beielstein, Thomas and Friese, Martina and Zaefferer, Martin and Naujoks, Boris and Flasch, Oliver and Konen, Wolfgang and Koch, Patrick},
    Booktitle = {Proceedings of the 13th Annual Conference Companion on Genetic and Evolutionary Computation},
    Year = {2011},
    Address = {New York, NY, USA},
    Pages = {119--120},
    Publisher = {ACM},
    Series = {GECCO '11},
    Keywords = {parameter tuning, sequential parameter optimization, surrogate model/fitness approximation},
    Location = {Dublin, Ireland},
    Numpages = {2}
    }
  • J. Ziegenhirt, T. Bartz-Beielstein, O. Flasch, W. Konen, and M. Zaefferer, “Optimization of Biogas Production with Computational Intelligence–-A Comparative Study,” in Proc. 2010 congress on evolutionary computation (CEC’10) within IEEE world congress on computational intelligence (WCCI’10), barcelona, spain, New York, NY, USA, 2010, p. 3606–3613.
    [Bibtex]
    @InProceedings{Ziegenhirt2010a,
    Title = {{Optimization of Biogas Production with Computational Intelligence---A Comparative Study}},
    Author = {J\"org Ziegenhirt and Thomas Bartz-Beielstein and Oliver Flasch and Wolfgang Konen and Martin Zaefferer},
    Booktitle = {Proc. 2010 Congress on Evolutionary Computation ({CEC}'10) within {IEEE} World Congress on Computational Intelligence ({WCCI}'10), Barcelona, Spain},
    Year = {2010},
    Address = {New York, NY, USA},
    Editor = {Fogel, Gary et al.},
    Pages = {3606--3613},
    Publisher = {IEEE}
    }

Miscellaneous

  • [PDF] T. Bartz-Beielstein, L. Gentile, and M. Zaefferer, In a nutshell: sequential parameter optimization, 2017.
    [Bibtex]
    @Misc{Bartz-Beielstein2017p,
    author = {Thomas Bartz-Beielstein and Lorenzo Gentile and Martin Zaefferer},
    title = {In a Nutshell: Sequential Parameter Optimization},
    year = {2017},
    abstract = {The performance of optimization algorithms relies crucially on their parameterizations. Finding good parameter settings is called algorithm tuning. Using a simple simulated annealing algorithm, we will demonstrate how optimization algorithms can be tuned using the sequential parameter optimization toolbox (SPOT). SPOT provides several tools for automated and interactive tuning. The underling concepts of the SPOT approach are explained. This includes key techniques such as exploratory fitness landscape analysis and response surface methodology. Many examples illustrate how SPOT can be used for understanding the performance of algorithms and gaining insight into algorithm's behavior. Furthermore, we demonstrate how SPOT can be used as an optimizer and how a sophisticated ensemble approach is able to combine several meta models via stacking.},
    date = {2017-12-12},
    eprint = {1712.04076v1},
    eprintclass = {cs.MS},
    eprinttype = {arXiv},
    institution = {TH K\"oln},
    keywords = {cs.MS, cs.AI, math.OC},
    }
  • [PDF] T. Bartz-Beielstein, M. Zaefferer, J. Stork, and S. Krey, The revised sequential parameter optimization toolbox, 2017.
    [Bibtex]
    @Misc{Bartz-Beielstein2017i,
    author = {Thomas Bartz-Beielstein and Martin Zaefferer and J{\"o}rg Stork and Sebastian Krey},
    title = {The Revised Sequential Parameter Optimization Toolbox},
    howpublished = {useR!2017 Talk},
    year = {2017},
    keywords = {ispublished},
    }
  • [PDF] B. Naujoks, J. Stork, M. Zaefferer, and T. Bartz-Beielstein, Meta-model assisted (evolutionary) optimization, 2016.
    [Bibtex]
    @Misc{Zaefferer2016e,
    Title = {Meta-Model Assisted (Evolutionary) Optimization},
    Author = {Boris Naujoks and J{\"o}rg Stork and Martin Zaefferer and Thomas Bartz-Beielstein},
    HowPublished = {online},
    Month = {sep},
    Note = {Tutorial Slides, PPSN XIV},
    Year = {2016}
    }
  • [PDF] M. Friese and M. Zaefferer, Two challenges in surrogate-modeling: merging surrogate-models into ensembles and dealing with structured or combinatorial search spaces, 2016.
    [Bibtex]
    @Misc{Friese2016a,
    Title = {Two Challenges in Surrogate-modeling: Merging Surrogate-models into Ensembles and Dealing with Structured or Combinatorial Search Spaces},
    Author = {Martina Friese and Martin Zaefferer},
    HowPublished = {Contributed Talk at Surrogate-Assisted Multi-Criteria Optimization (SAMCO) Workshop, Lorentz Center, Leiden, NL},
    Month = mar,
    Year = {2016}
    }

Dissertations

  • [PDF] [DOI] M. Zaefferer, “Surrogate models for discrete optimization problems,” phdthesis PhD Thesis, 2018.
    [Bibtex]
    @PhdThesis{Zaefferer2018c,
    author = {Zaefferer, Martin},
    title = {Surrogate Models for Discrete Optimization Problems},
    school = {Technische Universit{\"a}t Dortmund},
    year = {2018},
    type = {phdthesis},
    month = dec,
    doi = {10.17877/DE290R-19857},
    }

Technical Reports

  • [PDF] T. Bartz-Beielstein and M. Zaefferer, “Model-based methods for continuous and discrete global optimization,” TH Köln, 8/2016, 2016.
    [Bibtex]
    @TechReport{Bartz-Beielstein2016,
    Title = {Model-based Methods for Continuous and Discrete Global Optimization},
    Author = {Thomas Bartz-Beielstein and Martin Zaefferer},
    Institution = {TH K\"oln},
    Year = {2016},
    Note = {CIplus},
    Number = {8/2016},
    Pages = {54},
    Series = {CIplus},
    URL = {http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:832-cos4-4356}
    }
  • [PDF] O. Flasch, M. Friese, M. Zaefferer, T. Bartz-Beielstein, and J. Branke, “Learning model-ensemble policies with genetic programming,” Fakultät 10 / Institut für Informatik, 3/2015, 2015.
    [Bibtex]
    @TechReport{Flasch2015,
    Title = {Learning Model-Ensemble Policies with Genetic Programming},
    Author = {Oliver Flasch and Martina Friese and Martin Zaefferer and Thomas Bartz-Beielstein and J{\"u}rgen Branke},
    Institution = {Fakult{\"a}t 10 / Institut f{\"u}r Informatik},
    Year = {2015},
    Number = {3/2015},
    Series = {CIplus}
    }
  • T. Bartz-Beielstein and M. Zaefferer, “Cimo – ci-basierte mehrkriterielle optimierungsverfahren für anwendungen in der industrie (schlussbericht),” Fachhochschule Köln, Fakultät für Informatik und Ingenieurwissenschaften 2015.
    [Bibtex]
    @TechReport{Zaef15c,
    Title = {CIMO - CI-basierte Mehrkriterielle Optimierungsverfahren f{\"u}r Anwendungen in der Industrie (Schlussbericht)},
    Author = {Thomas Bartz-Beielstein and Martin Zaefferer},
    Institution = {Fachhochschule K{\"o}ln, Fakult{\"a}t f{\"u}r Informatik und Ingenieurwissenschaften},
    Year = {2015}
    }
  • [PDF] M. Friese, J. Stork, R. R. Guerra, T. Bartz-Beielstein, S. Thaker, O. Flasch, and M. Zaefferer, “Unified univariate frequency-based imputation for time series data,” Fakultät 10 / Institut für Informatik, 5/2013, 2013.
    [Bibtex]
    @TechReport{Friese2013,
    Title = {UniFIeD Univariate Frequency-based Imputation for Time Series Data},
    Author = {Martina Friese and J{\"o}rg Stork and Ricardo Ramos Guerra and Thomas Bartz-Beielstein and Soham Thaker and Oliver Flasch and Martin Zaefferer},
    Institution = {Fakult{\"a}t 10 / Institut f{\"u}r Informatik},
    Year = {2013},
    Number = {5/2013},
    Series = {CIplus}
    }
  • [PDF] M. Zaefferer, B. Naujoks, and T. Bartz-Beielstein, “A gentle introduction to multi-criteria optimization with spot,” Bibliothek der Fachhochschule Köln, Schriftenreihe {CI}plus, Betzdorfer Str. 2, 50679 Köln, 1/2013, 2013.
    [Bibtex]
    @TechReport{Zaefferer2013c,
    Title = {A Gentle Introduction to Multi-Criteria Optimization with SPOT},
    Author = {Martin Zaefferer and Boris Naujoks and Thomas Bartz-Beielstein},
    Institution = {Bibliothek der Fachhochschule K{\"o}ln, Schriftenreihe {CI}plus},
    Year = {2013},
    Address = {Betzdorfer Str. 2, 50679 K{\"o}ln},
    Number = {1/2013}
    }
  • [PDF] M. Zaefferer, T. Bartz-Beielstein, M. Friese, B. Naujoks, and O. Flasch, “MSPOT: Multi-Criteria Sequential Parameter Optimization,” {CI}plus, TR 2/2012, 2012.
    [Bibtex]
    @TechReport{Zaefferer2012b,
    Title = {{MSPOT: Multi-Criteria Sequential Parameter Optimization}},
    Author = {Martin Zaefferer and Thomas Bartz-Beielstein and Martina Friese and Boris Naujoks and Oliver Flasch},
    Institution = {{CI}plus},
    Year = {2012},
    Month = {January},
    Number = {TR 2/2012}
    }
  • [PDF] T. Bartz-Beielstein and M. Zaefferer, “A Gentle Introduction to Sequential Parameter Optimization,” CIplus, TR 01/2012, 2012.
    [Bibtex]
    @TechReport{Bartz-Beielstein2012i,
    Title = {{A Gentle Introduction to Sequential Parameter Optimization}},
    Author = {Thomas Bartz-Beielstein and Martin Zaefferer},
    Institution = {CIplus},
    Year = {2012},
    Number = {TR 01/2012}
    }