Publications | Prof. Dr. Pascal Kerschke | Department of Information Systems

2021

Research article in proceedings (conference)

Aspar, P., Kerschke, P., Steinhoff, V., Trautmann, H., & Grimme, C. (2021). Multi^3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization. In Ishibuchi, H. e. a. (Ed.), Evolutionary Multi-Criterion Optimization: 11th International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings (pp. 311–322). Heidelberg, Berlin: Springer.
More details BibTeX Full text DOI

@inproceedings{AsparKSTG2021Multi3Optimizing,
  author = {Pelin Aspar and Pascal Kerschke and Vera Steinhoff and Heike Trautmann and Christian Grimme},
  title = {Multi^3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization},
  booktitle = {Evolutionary Multi-Criterion Optimization: 11$^{th}$ International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings},
  pages = {311--322},
  editor = {H. et al. Ishibuchi},
  year = {2021},
  publisher = {Springer},
  address = {Heidelberg, Berlin},
  doi = {10.1007/978-3-030-72062-9_25},
  url = {https://link.springer.com/chapter/10.1007/978-3-030-72062-9_25},
  note = {Publication status: Published}
}

Prager, R. P., Moritz, V. H., & Pascal, (2021). Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization. In Proceedings of the IEEE Symposium Series on Computational Intelligence, Orlando, Florida, USA.
More details BibTeX

@inproceedings{PragerMP2021TowardsFeatureFree,
  author = {Raphael Patrick
Seiler Prager and Vinzent
Trautmann Heike
Kerschke Moritz and  Pascal},
  title = {Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization},
  booktitle = {Proceedings of the IEEE Symposium Series on Computational Intelligence},
  year = {2021},
  address = {Orlando, Florida, USA},
  note = {Publication status: Published}
}

Schäpermeier, L., Grimme, C., & Kerschke, P. (2021). To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes. In Proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization (EMO), Shenzhen, China, 632–644.
More details BibTeX Full text DOI

@inproceedings{SchaepermeierGK2021ToBoldlyShow,
  author = {Lennart Schäpermeier and Christian Grimme and Pascal Kerschke},
  title = {To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes},
  booktitle = {Proceedings of the 11$^{th}$ International Conference on Evolutionary Multi-Criterion Optimization (EMO)},
  pages = {632--644},
  year = {2021},
  address = {Shenzhen, China},
  doi = {10.1007/978-3-030-72062-9_50},
  url = {https://arxiv.org/abs/2011.14395},
  note = {Publication status: Published}
}

Research article (journal)

Rodrigues, A., Kerschke, P., de B., P. C. A., Trautmann, H., Wagner, C., Hellingrath, B., & Polpo, A. (2021). Estimation of component reliability from superposed renewal processes by means of latent variables. Computational Statistics, 2021.
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@article{RodriguesKDBTWHP2021Estimation,
  author = {Agatha Rodrigues and Pascal Kerschke and Pereira Carlos Alberto {de B.} and Heike Trautmann and Carolin Wagner and Bernd Hellingrath and Adriano Polpo},
  title = {Estimation of component reliability from superposed renewal processes by means of latent variables},
  journal = {Computational Statistics},
  year = {2021},
  volume = {2021},
  doi = {10.1007/s00180-021-01124-0},
  note = {Publication status: Published}
}

2020

Research article in proceedings (conference)

Bossek, J., Casel, K., Kerschke, P., & Neumann, F. (2020). The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '20), Cancun, Mexico, 1286–1294.
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@inproceedings{BossekCKN2020TheNodeWeight,
  author = {Jakob Bossek and Katrin Casel and Pascal Kerschke and Frank Neumann},
  title = {The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '20)},
  pages = {1286--1294},
  year = {2020},
  publisher = {ACM},
  address = {Cancun, Mexico},
  doi = {10.1145/3377930.3390243},
  url = {https://arxiv.org/abs/2002.01070},
  note = {Publication status: Published}
}

Bossek, J., Doerr, C., & Kerschke, P. (2020). Initial Design Strategies and their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '20), Cancun, Mexico, 778–786.
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@inproceedings{BossekDK2020InitialDesign,
  author = {Jakob Bossek and Carola Doerr and Pascal Kerschke},
  title = {Initial Design Strategies and their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '20)},
  pages = {778--786},
  year = {2020},
  publisher = {ACM},
  address = {Cancun, Mexico},
  doi = {10.1145/3377930.3390155},
  url = {https://arxiv.org/abs/2003.13826},
  note = {Publication status: Published}
}

Bossek, J., Doerr, C., Kerschke, P., Neumann, A., & Neumann, F. (2020). Evolving Sampling Strategies for One-Shot Optimization Tasks. In Proceedings of the 16th International Conference on Parallel Problem Solving from Nature (PPSN XVI), Leiden, The Netherlands, 111–124.
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@inproceedings{BossekDKNN2020EvolvingSampling,
  author = {Jakob Bossek and Carola Doerr and Pascal Kerschke and Aneta Neumann and Frank Neumann},
  title = {Evolving Sampling Strategies for One-Shot Optimization Tasks},
  booktitle = {Proceedings of the 16$^{th}$ International Conference on Parallel Problem Solving from Nature (PPSN XVI)},
  pages = {111--124},
  editor = {Thomas Bäck and Mike Preuss and André Deutz and Hao Wang and Carola Doerr and Michael Emmerich and Heike Trautmann},
  year = {2020},
  address = {Leiden, The Netherlands},
  doi = {10.1007/978-3-030-58112-1_8},
  note = {Publication status: Published}
}

Bossek, J., Kerschke, P., & Trautmann, H. (2020). Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Glasgow, UK, 1–8.
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@inproceedings{BossekKT2020AnytimeBehavior,
  author = {Jakob Bossek and Pascal Kerschke and Heike Trautmann},
  title = {Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection},
  booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
  pages = {1--8},
  year = {2020},
  publisher = {IEEE},
  address = {Glasgow, UK},
  url = {https://arxiv.org/abs/2005.13289},
  note = {Publication status: Published}
}

Prager, R. P., Trautmann, H., Wang, H., Bäck, T. H. W., & Kerschke, P. (2020). Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. In Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 996–1003.
More details BibTeX DOI

@inproceedings{PragerTWBK2020PerInstance,
  author = {Raphael Patrick Prager and Heike Trautmann and Hao Wang and Thomas H. W. Bäck and Pascal Kerschke},
  title = {Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis},
  booktitle = {Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)},
  pages = {996--1003},
  year = {2020},
  address = {Canberra, Australia},
  doi = {10.1109/SSCI47803.2020.9308510},
  note = {Publication status: Published}
}

Schäpermeier, L., Grimme, C., & Kerschke, P. (2020). One PLOT to Show Them All: Visualization of Efficient Sets in Multi-Objective Landscapes. In Proceedings of the 16th International Conference on Parallel Problem Solving from Nature (PPSN XVI), Leiden, The Netherlands, 154–167.
More details BibTeX Full text DOI

@inproceedings{SchaepermeierGK2020OnePLOTToShow,
  author = {Lennart Schäpermeier and Christian Grimme and Pascal Kerschke},
  title = {One PLOT to Show Them All: Visualization of Efficient Sets in Multi-Objective Landscapes},
  booktitle = {Proceedings of the 16$^{th}$ International Conference on Parallel Problem Solving from Nature (PPSN XVI)},
  pages = {154--167},
  editor = {Thomas Bäck and Mike Preuss and André Deutz and Hao Wang and Carola Doerr and Michael Emmerich and Heike Trautmann},
  year = {2020},
  publisher = {Springer},
  address = {Leiden, The Netherlands},
  doi = {10.1007/978-3-030-58115-2_11},
  url = {https://arxiv.org/abs/2006.11547},
  note = {Publication status: Published}
}

Seiler, M. V., Pohl, J., Bossek, J., Kerschke, P., & Trautmann, H. (2020). Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. In Proceedings of the 16th International Conference on Parallel Problem Solving from Nature (PPSN XVI), Leiden, The Netherlands, 48–64.
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@inproceedings{SeilerPBKT2020DeepLearning,
  author = {Moritz V Seiler and Janina Pohl and Jakob Bossek and Pascal Kerschke and Heike Trautmann},
  title = {Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem},
  booktitle = {Proceedings of the 16$^{th}$ International Conference on Parallel Problem Solving from Nature (PPSN XVI)},
  pages = {48--64},
  editor = {Thomas Bäck and Mike Preuss and André Deutz and Hao Wang and Carola Doerr and Michael Emmerich and Heike Trautmann},
  year = {2020},
  address = {Leiden, The Netherlands},
  doi = {10.1007/978-3-030-58112-1_4},
  url = {https://arxiv.org/abs/2006.15968},
  note = {Publication status: Published}
}

Seiler, M. V., Trautmann, H., & Kerschke, P. (2020). Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries. In Proceedings of the International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 1–8.
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@inproceedings{SeilerTK2020EnhancingResilience,
  author = {Moritz Vinzent Seiler and Heike Trautmann and Pascal Kerschke},
  title = {Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries},
  booktitle = {Proceedings of the International Joint Conference on Neural Networks (IJCNN)},
  pages = {1--8},
  year = {2020},
  address = {Glasgow, UK},
  doi = {10.1109/IJCNN48605.2020.9207338},
  url = {https://arxiv.org/abs/2005.13293},
  note = {Publication status: Published}
}

Steinhoff, V., Kerschke, P., Aspar, P., Trautmann, H., & Grimme, C. (2020). Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. In Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 2445–2452.
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@inproceedings{SteinhoffKATG2020Multiobjectivization,
  author = {Vera Steinhoff and Pascal Kerschke and Pelin Aspar and Heike Trautmann and Christian Grimme},
  title = {Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent},
  booktitle = {Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)},
  pages = {2445--2452},
  year = {2020},
  address = {Canberra, Australia},
  doi = {10.1109/SSCI47803.2020.9308259},
  url = {https://arxiv.org/pdf/2010.01004.pdf},
  note = {Publication status: Published}
}

Research article (journal)

Bossek, J., Kerschke, P., & Trautmann, H. (2020). A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms. Applied Soft Computing, 2020(88), 105901.
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@article{BossekKT2020AMultiObjective,
  author = {Jakob Bossek and Pascal Kerschke and Heike Trautmann},
  title = {A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms},
  journal = {Applied Soft Computing},
  year = {2020},
  volume = {2020},
  number = {88},
  pages = {105901},
  doi = {10.1016/j.asoc.2019.105901},
  url = {http://www.sciencedirect.com/science/article/pii/S1568494619306829},
  note = {Publication status: Published}
}

Other scientific publication

Bartz-Beielstein, T., Doerr, C., Bossek, J., Chandrasekaran, S., Eftimov, T., Fischbach, A., Kerschke, P., López-Ibáñez, M., Malan, K. M., Moore, J. H., Naujoks, B., Orzechowski, P., Volz, V., Wagner, M., & Weise, T. (2020). Benchmarking in Optimization: Best Practice and Open Issues.
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@techreport{BartzBeielsteinDBCEFKLIMMNOVWW2020Benchmarking,
  author = {Thomas Bartz-Beielstein and Carola Doerr and Jakob Bossek and Sowmya Chandrasekaran and Tome Eftimov and Andreas Fischbach and Pascal Kerschke and Manuel López-Ibáñez and Katherine M Malan and Jason H Moore and Boris Naujoks and Patryk Orzechowski and Vanessa Volz and Markus Wagner and Thomas Weise},
  title = {Benchmarking in Optimization: Best Practice and Open Issues},
  institution = {},
  year = {2020},
  url = {https://arxiv.org/abs/2007.03488},
  note = {Publication status: Published}
}

Steinhoff, V., Kerschke, P., & Grimme, C. (2020). Empirical Study on the Benefits of Multiobjectivization for Solving Single-Objective Problems.
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@techreport{SteinhoffKG2020EmpiricalStudy,
  author = {Vera Steinhoff and Pascal Kerschke and Christian Grimme},
  title = {Empirical Study on the Benefits of Multiobjectivization for Solving Single-Objective Problems},
  institution = {},
  year = {2020},
  url = {https://arxiv.org/abs/2006.14423},
  note = {Publication status: Published}
}

2019

Research article (book contribution)

Kerschke, P., & Trautmann, H. (2019). Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco. In Bauer, N., Ickstadt, K., Lübke, K., Szepannek, G., Trautmann, H., & Vichi, M. (Eds.), Applications in Statistical Computing (pp. 93–123). Springer.
More details BibTeX DOI

@incollection{KerschkeT2019Comprehensive,
  author = {Pascal Kerschke and Heike Trautmann},
  title = {Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco},
  booktitle = {Applications in Statistical Computing},
  pages = {93--123},
  editor = {Nadja Bauer and Katja Ickstadt and Karsten Lübke and Gero Szepannek and Heike Trautmann and Maurizio Vichi},
  year = {2019},
  publisher = {Springer},
  doi = {10.1007/978-3-030-25147-5_7},
  note = {Publication status: Published}
}

Research article in proceedings (conference)

Bossek, J., Kerschke, P., Neumann, A., Wagner, M., Neumann, F., & Trautmann, H. (2019). Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators. In Proceedings of the 15th ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV), Potsdam, Germany, 58–71.
More details BibTeX DOI

@inproceedings{BossekKNWNT2019EvolvingDiverse,
  author = {Jakob Bossek and Pascal Kerschke and Aneta Neumann and Markus Wagner and Frank Neumann and Heike Trautmann},
  title = {Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators},
  booktitle = {Proceedings of the 15$^{th}$ ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV)},
  pages = {58--71},
  editor = {Tobias Friedrich and Carola Doerr and Dirk Arnold},
  year = {2019},
  address = {Potsdam, Germany},
  doi = {10.1145/3299904.3340307},
  note = {Publication status: Published}
}

Doerr, C., Dreo, J., & Kerschke, P. (2019). Making a Case for (Hyper-)Parameter Tuning as Benchmark Problems. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '19) Companion, Prague, Czech Republic, 1755–1764.
More details BibTeX DOI

@inproceedings{DoerrDK2019MakingACase,
  author = {Carola Doerr and Johann Dreo and Pascal Kerschke},
  title = {Making a Case for (Hyper-)Parameter Tuning as Benchmark Problems},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '19) Companion},
  pages = {1755--1764},
  year = {2019},
  address = {Prague, Czech Republic},
  doi = {10.1145/3319619.3326857},
  note = {Publication status: Published}
}

Grimme, C., Kerschke, P., Emmerich, M. T. M., Preuss, M., Deutz, A. H., & Trautmann, H. (2019). Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization. In Proceedings of the International Global Optimization Workshop (LeGO 2018), Leiden, The Netherlands, 020052-1-020052-4.
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@inproceedings{GrimmeKEPDT2019SlidingToThe,
  author = {Christian Grimme and Pascal Kerschke and Michael T M Emmerich and Mike Preuss and André H Deutz and Heike Trautmann},
  title = {Sliding to the Global Optimum: How to Benefit from Non-Global
Optima in Multimodal Multi-Objective Optimization},
  booktitle = {AIP Conference Proceedings},
  pages = {020052-1-020052-4},
  year = {2019},
  publisher = {AIP Publishing},
  address = {Leiden, The Netherlands},
  doi = {10.1063/1.5090019},
  url = {https://aip.scitation.org/doi/pdf/10.1063/1.5090019?class=pdf},
  note = {Publication status: Published}
}

Grimme, C., Kerschke, P., & Trautmann, H. (2019). Multimodality in Multi-Objective Optimization — More Boon than Bane?. In Proceedings of the 10th International Conference on Evolutionary Multi-Criterion Optimization (EMO), East Lansing, MI, USA, 126–138.
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@inproceedings{GrimmeKT2019Multimodality,
  author = {Christian Grimme and Pascal Kerschke and Heike Trautmann},
  title = {Multimodality in Multi-Objective Optimization --- More Boon than Bane?},
  booktitle = {Proceedings of the 10$^{th}$ International Conference on Evolutionary Multi-Criterion Optimization (EMO)},
  pages = {126--138},
  series = {Lecture Notes in Computer Science},
  volume = {11411},
  editor = {Kalyanmoy Deb and Erik Goodman and Coello Carlos A. Coello and Kathrin Klamroth and Kaisa Miettinen and Sanaz Mostaghim and Patrick Reed},
  year = {2019},
  publisher = {Springer},
  address = {East Lansing, MI, USA},
  doi = {10.1007/978-3-030-12598-1_11},
  url = {https://link.springer.com/chapter/10.1007/978-3-030-12598-1_11},
  note = {Publication status: Published}
}

Kerschke, P., & Preuss, M. (2019). Exploratory Landscape Analysis. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '19) Companion, Prague, Czech Republic, 1137–1155.
More details BibTeX DOI

@inproceedings{KerschkeP2019Exploratory,
  author = {Pascal Kerschke and Mike Preuss},
  title = {Exploratory Landscape Analysis},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '19) Companion},
  pages = {1137--1155},
  year = {2019},
  address = {Prague, Czech Republic},
  doi = {10.1145/3319619.3323389},
  note = {Publication status: Published}
}

Rapin, J., Gallagher, M., Kerschke, P., Preuss, M., & Teytaud, O. (2019). Exploring the MLDA Benchmark on the Nevergrad Platform. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '19) Companion, Prague, Czech Republic, 1888–1896.
More details BibTeX DOI

@inproceedings{RapinGKPT2019ExploringThe,
  author = {Jérémy Rapin and Marcus Gallagher and Pascal Kerschke and Mike Preuss and Olivier Teytaud},
  title = {Exploring the MLDA Benchmark on the Nevergrad Platform},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '19) Companion},
  pages = {1888--1896},
  year = {2019},
  address = {Prague, Czech Republic},
  doi = {10.1145/3319619.3326830},
  note = {Publication status: Published}
}

Volz, V., Naujoks, B., Kerschke, P., & Tušar, T. (2019). Single- and Multi-Objective Game-Benchmarkfor Evolutionary Algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '19), Prague, Czech Republic, 647–655.
More details BibTeX DOI

@inproceedings{VolzNKT2019SingleAnd,
  author = {Vanessa Volz and Boris Naujoks and Pascal Kerschke and Tea Tušar},
  title = {Single- and Multi-Objective Game-Benchmarkfor Evolutionary Algorithms},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '19)},
  pages = {647--655},
  year = {2019},
  address = {Prague, Czech Republic},
  doi = {10.1145/3321707.3321805},
  note = {Publication status: Published}
}

Research article (journal)

Casalicchio, G., Bossek, J., Lang, M., Kirchhoff, D., Kerschke, P., Hofner, B., Seibold, H., Vanschoren, J., & Bischl, B. (2019). OpenML: An R package to connect to the machine learning platform OpenML. Computational Statistics, 2019, 977–991.
More details BibTeX Full text DOI

@article{CasalicchioBLKKHSVB2019OpenMLAnR,
  author = {Giuseppe Casalicchio and Jakob Bossek and Michel Lang and Dominik Kirchhoff and Pascal Kerschke and Benjamin Hofner and Heidi Seibold and Joaquin Vanschoren and Bernd Bischl},
  title = {OpenML: An R package to connect to the machine learning platform OpenML},
  journal = {Computational Statistics},
  year = {2019},
  volume = {2019},
  pages = {977--991},
  doi = {10.1007/s00180-017-0742-2},
  url = {http://rdcu.be/tz1M},
  note = {Publication status: Published}
}

Kerschke, P., Hoos, H. H., Neumann, F., & Trautmann, H. (2019). Automated Algorithm Selection: Survey and Perspectives. Evolutionary Computation (ECJ), 27(1), 3–45.
More details BibTeX Full text DOI

@article{KerschkeHNT2019AutomatedAlgorithm,
  author = {Pascal Kerschke and Holger H Hoos and Frank Neumann and H Trautmann},
  title = {Automated Algorithm Selection: Survey and Perspectives},
  journal = {Evolutionary Computation (ECJ)},
  year = {2019},
  volume = {27},
  number = {1},
  pages = {3--45},
  doi = {10.1162/evco_a_00242},
  url = {https://www.mitpressjournals.org/doi/pdf/10.1162/evco_a_00242},
  note = {Publication status: Published}
}

Kerschke, P., & Trautmann, H. (2019). Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning. Evolutionary Computation (ECJ), 27(1), 99–127.
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@article{KerschkeT2019AutomatedAlgorithm,
  author = {Pascal Kerschke and Heike Trautmann},
  title = {Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning},
  journal = {Evolutionary Computation (ECJ)},
  year = {2019},
  volume = {27},
  number = {1},
  pages = {99--127},
  doi = {10.1162/evco_a_00236},
  url = {https://www.mitpressjournals.org/doi/abs/10.1162/evco_a_00236},
  note = {Publication status: Published}
}

Kerschke, P., Wang, H., Preuss, M., Grimme, C., Deutz, A., Trautmann, H., & Emmerich, M. (2019). Search Dynamics on Multimodal Multi-Objective Problems. Evolutionary Computation (ECJ), 27(4), 577–609.
More details BibTeX Full text DOI

@article{KerschkeWPGDTE2019SearchDynamics,
  author = {Pascal Kerschke and Hao Wang and Mike Preuss and Christian Grimme and André Deutz and Heike Trautmann and Michael Emmerich},
  title = {Search Dynamics on Multimodal Multi-Objective Problems},
  journal = {Evolutionary Computation (ECJ)},
  year = {2019},
  volume = {27},
  number = {4},
  pages = {577--609},
  doi = {10.1162/evco_a_00234},
  url = {https://www.mitpressjournals.org/doi/full/10.1162/evco_a_00234},
  note = {Publication status: Published}
}

Other scientific publication

Bossek, J., Kerschke, P., Neumann, A., Neumann, F., & Doerr, C. (2019). One-Shot Decision-Making with and without Surrogates.
More details BibTeX Full text

@techreport{BossekKNND2019OneShotDecisionMaking,
  author = {Jakob Bossek and Pascal Kerschke and Aneta Neumann and Frank Neumann and Carola Doerr},
  title = {One-Shot Decision-Making with and without Surrogates},
  institution = {},
  year = {2019},
  url = {https://arxiv.org/abs/1912.08956},
  note = {Publication status: Published}
}

2018

Research article in proceedings (conference)

Kerschke, P., Bossek, J., & Trautmann, H. (2018). Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '18) Companion, Kyoto, Japan, 1737–1744.
More details BibTeX Full text DOI

@inproceedings{KerschkeBT2018Parameterization,
  author = {Pascal Kerschke and Jakob Bossek and Heike Trautmann},
  title = {Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '18) Companion},
  pages = {1737--1744},
  year = {2018},
  address = {Kyoto, Japan},
  isbn = {978-1-4503-5764-7/18/07},
  doi = {10.1145/3205651.3208233},
  url = {https://dl.acm.org/citation.cfm?id=3205651.3208233},
  note = {Publication status: Published}
}

Pappa, G. L., Emmerich, M. T., Bazzan, A., Browne, W., Deb, K., Doerr, C., Ðurasević, M., Epitropakis, M. G., Haraldsson, S. O., Jakobovic, D., Kerschke, P., Krawiec, K., Lehre, P. K., Li, X., Lissovoi, A., Malo, P., Martí, L., Mei, Y., Merelo, J. J., Miller, J. F., Moraglio, A., Nebro, A. J., Nguyen, S., Ochoa, G., Oliveto, P., Picek, S., Pillay, N., Preuss, M., Schoenauer, M., Senkerik, R., Sinha, A., Shir, O., Sudholt, D., Whitley, D., Wineberg, M., Woodward, J., & Zhang, M. (2018). Tutorials at PPSN 2018. In Auger, A., Fonseca, C. M., Lourenço, N., Machado, P., Paquete, L., & Whitley, D. (Eds.), Proceedings of International Conference on Parallel Problem Solving from Nature (PPSN XV) (pp. 477–489). Cham: Springer International Publishing.
More details BibTeX Full text DOI

@inproceedings{PappaEBBDDDEHJKKLLLMMMMMMNNOOPPPSSSSSWWWZ2018TutorialsAt,
  author = {Gisele Lobo Pappa and Michael TM Emmerich and Ana Bazzan and Will Browne and Kalyanmoy Deb and Carola Doerr and Marko Ðurasević and Michael G. Epitropakis and Saemundur O. Haraldsson and Domagoj Jakobovic and Pascal Kerschke and Krzysztof Krawiec and Per Kristian Lehre and Xiaodong Li and Andrei Lissovoi and Pekka Malo and Luis Martí and Yi Mei and Juan J. Merelo and Julian F. Miller and Alberto Moraglio and Antonio J. Nebro and Su Nguyen and Gabriela Ochoa and Pietro Oliveto and Stjepan Picek and Nelishia Pillay and Mike Preuss and Marc Schoenauer and Roman Senkerik and Ankur Sinha and Ofer Shir and Dirk Sudholt and Darrell Whitley and Mark Wineberg and John Woodward and Mengjie Zhang},
  title = {Tutorials at PPSN 2018},
  booktitle = {Proceedings of International Conference on Parallel Problem Solving from Nature (PPSN XV)},
  pages = {477--489},
  editor = {Anne Auger and Carlos M. Fonseca and Nuno Lourenço and Penousal Machado and Luís Paquete and Darrell Whitley},
  year = {2018},
  publisher = {Springer International Publishing},
  address = {Cham},
  isbn = {978-3-319-99259-4},
  doi = {10.1007/978-3-319-99259-4_38},
  url = {https://link.springer.com/chapter/10.1007/978-3-319-99259-4_38},
  note = {Publication status: Published}
}

Purshouse, R., Zarges, C., Cussat-Blanc, S., Epitropakis, M. G., Gallagher, M., Jansen, T., Kerschke, P., Li, X., Lobo, F. G., Miller, J., Oliveto, P. S., Preuss, M., Squillero, G., Tonda, A., Wagner, M., Weise, T., Wilson, D., Wróbel, B., & Zamuda, A. (2018). Workshops at PPSN 2018. In Auger, A., Fonseca, C. M., Lourenço, N., Machado, P., Paquete, L., & Whitley, D. (Eds.), Proceedings of International Conference on Parallel Problem Solving from Nature (PPSN XV) (pp. 490–497). Cham: Springer International Publishing.
More details BibTeX Full text DOI

@inproceedings{PurshouseZCBEGJKLLMOPSTWWWWZ2018WorkshopsAt,
  author = {Robin Purshouse and Christine Zarges and Sylvain Cussat-Blanc and Michael G. Epitropakis and Marcus Gallagher and Thomas Jansen and Pascal Kerschke and Xiaodong Li and Fernando G. Lobo and Julian Miller and Pietro S. Oliveto and Mike Preuss and Giovanni Squillero and Alberto Tonda and Markus Wagner and Thomas Weise and Dennis Wilson and Borys Wróbel and Aleš Zamuda},
  title = {Workshops at PPSN 2018},
  booktitle = {Proceedings of International Conference on Parallel Problem Solving from Nature (PPSN XV)},
  pages = {490--497},
  editor = {Anne Auger and Carlos M. Fonseca and Nuno Lourenço and Penousal Machado and Luís Paquete and Darrell Whitley},
  year = {2018},
  publisher = {Springer International Publishing},
  address = {Cham},
  isbn = {978-3-319-99259-4},
  doi = {10.1007/978-3-319-99259-4_39},
  url = {https://link.springer.com/chapter/10.1007/978-3-319-99259-4_39},
  note = {Publication status: Published}
}

Research article (journal)

Kerschke, P., Kotthoff, L., Bossek, J., Hoos, H. H., & Trautmann, H. (2018). Leveraging TSP Solver Complementarity through Machine Learning. Evolutionary Computation (ECJ), 26(4), 597–620.
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@article{KerschkeKBHT2018Leveraging,
  author = {Pascal Kerschke and Lars Kotthoff and Jakob Bossek and Holger H. Hoos and Heike Trautmann},
  title = {Leveraging TSP Solver Complementarity through Machine Learning},
  journal = {Evolutionary Computation (ECJ)},
  year = {2018},
  volume = {26},
  number = {4},
  pages = {597--620},
  doi = {10.1162/evco_a_00215},
  url = {https://www.mitpressjournals.org/doi/abs/10.1162/evco_a_00215},
  note = {Publication status: Published}
}

2017

Research article in proceedings (conference)

Hanster, C., & Kerschke, P. (2017). flaccogui: Exploratory Landscape Analysis for Everyone. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '17) Companion, Berlin, Germany, 1215–1222.
More details BibTeX Full text DOI

@inproceedings{HansterK2017Flaccogui,
  author = {Christian Hanster and Pascal Kerschke},
  title = {flaccogui: Exploratory Landscape Analysis for Everyone},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '17) Companion},
  pages = {1215--1222},
  year = {2017},
  publisher = {ACM},
  address = {New York, NY, USA},
  isbn = {978-1-4503-4939-0},
  doi = {10.1145/3067695.3082477},
  url = {http://doi.acm.org/10.1145/3067695.3082477},
  note = {Publication status: Published}
}

Kerschke, P., & Grimme, C. (2017). An Expedition to Multimodal Multi-Objective Optimization Landscapes. In Proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization (EMO), Münster, Germany, 329–343.
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@inproceedings{KerschkeG2017AnExpedition,
  author = {Pascal Kerschke and Christian Grimme},
  title = {An Expedition to Multimodal Multi-Objective Optimization Landscapes},
  booktitle = {Proceedings of the 9$^{th}$ International Conference on Evolutionary Multi-Criterion Optimization (EMO)},
  pages = {329--343},
  editor = {Heike Trautmann and Günter Rudolph and Kathrin Klamroth and Oliver Schütze and Margaret Wiecek and Yaochu Jin and Christian Grimme},
  year = {2017},
  publisher = {Springer},
  address = {Münster, Germany},
  isbn = {978-3-319-54157-0},
  doi = {10.1007/978-3-319-54157-0_23},
  url = {http://link.springer.com/chapter/10.1007/978-3-319-54157-0_23},
  note = {Publication status: Published}
}

Kerschke, P., & Preuss, M. (2017). Exploratory Landscape Analysis: Advanced Tutorial at GECCO 2017. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '17) Companion, Berlin, Germany, 762–781.
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@inproceedings{KerschkeP2017Exploratory,
  author = {Pascal Kerschke and Mike Preuss},
  title = {Exploratory Landscape Analysis: Advanced Tutorial at GECCO 2017},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '17) Companion},
  pages = {762--781},
  year = {2017},
  publisher = {ACM},
  address = {New York, NY, USA},
  isbn = {978-1-4503-4939-0},
  doi = {10.1145/3067695.3067696},
  url = {http://doi.acm.org/10.1145/3067695.3067696},
  note = {Publication status: Published}
}

Thesis (doctoral or post-doctoral)

Kerschke, P. (2017). Automated and Feature-Based Problem Characterization and Algorithm Selection Through Machine Learning. at the University of Münster.
More details BibTeX Full text

@phdthesis{Kerschke2017AutomatedAnd,
  author = {Pascal Kerschke},
  title = {Automated and Feature-Based Problem Characterization and Algorithm Selection Through Machine Learning},
  school = {University of Münster},
  year = {2017},
  url = {http://nbn-resolving.de/urn:nbn:de:hbz:6-39169612241},
  note = {Publication status: Published}
}

Other scientific publication

Casalicchio, G., Bossek, J., Lang, M., Kirchhoff, D., Kerschke, P., Hofner, B., Seibold, H., Vanschoren, J., & Bischl, B. (2017). OpenML: An R Package to Connect to the Networked Machine Learning Platform OpenML.
More details BibTeX Full text DOI

@techreport{CasalicchioBLKKHSVB2017OpenMLAnR,
  author = {Giuseppe Casalicchio and Jakob Bossek and Michel Lang and Dominik Kirchhoff and Pascal Kerschke and Benjamin Hofner and Heidi Seibold and Joaquin Vanschoren and Bernd Bischl},
  title = {OpenML: An R Package to Connect to the Networked Machine Learning Platform OpenML},
  institution = {},
  number = {2017},
  volume = {2017},
  year = {2017},
  doi = {10.1007/s00180-017-0742-2},
  url = {https://arxiv.org/abs/1701.01293},
  note = {Publication status: Published}
}

Kerschke, P. (2017). Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco.
More details BibTeX Full text

@techreport{Kerschke2017Comprehensive,
  author = {Pascal Kerschke},
  title = {Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco},
  institution = {},
  number = {2017},
  volume = {2017},
  year = {2017},
  url = {https://arxiv.org/abs/1708.05258},
  note = {Publication status: Published}
}

2016

Research article in proceedings (conference)

Kerschke, P., Preuss, M., Wessing, S., & Trautmann, H. (2016). Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '16), Denver, CO, USA, 229–236.
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@inproceedings{KerschkePWT2016LowBudgetExploratory,
  author = {Pascal Kerschke and Mike Preuss and Simon Wessing and Heike Trautmann},
  title = {Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models},
  booktitle = {Proceedings of the 18$^{th}$ Annual Conference on Genetic and Evolutionary Computation},
  pages = {229--236},
  year = {2016},
  address = {Denver, CO, USA},
  isbn = {978-1-4503-4206-3},
  doi = {10.1145/2908812.2908845},
  url = {http://dl.acm.org/ft_gateway.cfm?id=2908845&ftid=1769968&dwn=1&CFID=713009283&CFTOKEN=63074777},
  note = {Publication status: Published}
}

Kerschke, P., & Trautmann, H. (2016). The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Vancouver, BC, Kanada.
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@inproceedings{KerschkeT2016TheRPackage,
  author = {Pascal Kerschke and Heike Trautmann},
  title = {The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems},
  booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
  year = {2016},
  address = {Vancouver, BC, Kanada},
  doi = {10.1109/CEC.2016.7748359},
  url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7748359},
  note = {Publication status: Published}
}

Kerschke, P., Wang, H., Preuss, M., Grimme, C., Deutz, A., Trautmann, H., & Emmerich, M. (2016). Towards Analyzing Multimodality of Multiobjective Landscapes. In Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN XIV), Edinburgh, Scotland, 962–972.
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@inproceedings{KerschkeWPGDTE2016TowardsAnalyzing,
  author = {Pascal Kerschke and Hao Wang and Mike Preuss and Christian Grimme and André Deutz and Heike Trautmann and Michael Emmerich},
  title = {Towards Analyzing Multimodality of Multiobjective Landscapes},
  booktitle = {Proceedings of the 14$^{th}$ International Conference on Parallel Problem Solving from Nature (PPSN XIV)},
  pages = {962--972},
  series = {Lecture Notes in Computer Science},
  year = {2016},
  publisher = {Springer},
  address = {Edinburgh, Scotland},
  doi = {10.1007/978-3-319-45823-6_90},
  url = {http://link.springer.com/content/pdf/10.1007%2F978-3-319-45823-6_90.pdf},
  note = {Publication status: Published}
}

Research article (journal)

Bischl, B., Kerschke, P., Kotthoff, L., Lindauer, M., Malitsky, Y., Fréchette, A., Hoos, H. H., Hutter, F., Leyton-Brown, K., Tierney, K., & Vanschoren, J. (2016). ASlib: A Benchmark Library for Algorithm Selection. Artificial Intelligence Journal, 237, 41–58.
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@article{BischlKKLMFHHLBTV2016ASlibABenchmark,
  author = {Bernd Bischl and Pascal Kerschke and Lars Kotthoff and Marius Lindauer and Yuri Malitsky and Alexandre Fréchette and Holger H Hoos and Frank Hutter and Kevin Leyton-Brown and Kevin Tierney and Joaquin Vanschoren},
  title = {ASlib: A Benchmark Library for Algorithm Selection},
  journal = {Artificial Intelligence Journal},
  year = {2016},
  volume = {237},
  pages = {41--58},
  doi = {10.1016/j.artint.2016.04.003},
  url = {http://www.sciencedirect.com/science/article/pii/S0004370216300388},
  note = {Publication status: Published}
}

Liboschik, T., Kerschke, P., Fokianos, K., & Fried, R. (2016). Modelling interventions in INGARCH processes. International Journal of Computer Mathematics, 93(4), 640–657.
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@article{LiboschikKFF2016ModellingInterventions,
  author = {Tobias Liboschik and Pascal Kerschke and Konstantinos Fokianos and Roland Fried},
  title = {Modelling interventions in INGARCH processes},
  journal = {International Journal of Computer Mathematics},
  year = {2016},
  volume = {93},
  number = {4},
  pages = {640--657},
  doi = {10.1080/00207160.2014.949250},
  url = {http://www.tandfonline.com/doi/full/10.1080/00207160.2014.949250},
  note = {Publication status: Published}
}

2015

Research article in proceedings (conference)

Chinnov, A., Kerschke, P., Meske, C., Stieglitz, S., & Trautmann, H. (2015). An Overview of Topic Discovery in Twitter Communication through Social Media Analytics. In Proceedings of the 20th Americas Conference on Information Systems (AMCIS '15), Puerto Rico, 1–10.
More details BibTeX Full text

@inproceedings{ChinnovKMST2015AnOverview,
  author = {Andrey Chinnov and Pascal Kerschke and Christian Meske and Stefan Stieglitz and Heike Trautmann},
  title = {An Overview of Topic Discovery in Twitter Communication through Social Media Analytics},
  booktitle = {Proceedings of the 20$^{th}$ Americas Conference on Information Systems (AMCIS '15)},
  pages = {1--10},
  year = {2015},
  address = {Puerto Rico},
  isbn = {978-0-9966831-0-4},
  url = {http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1274&context=amcis2015},
  note = {Publication status: Published}
}

Kerschke, P., Preuss, M., Wessing, S., & Trautmann, H. (2015). Detecting Funnel Structures by Means of Exploratory Landscape Analysis. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '15), Madrid, Spain, 265–272.
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@inproceedings{KerschkePWT2015DetectingFunnel,
  author = {Pascal Kerschke and Mike Preuss and Simon Wessing and Heike Trautmann},
  title = {Detecting Funnel Structures by Means of Exploratory Landscape Analysis},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '15)},
  pages = {265--272},
  editor = {Sara Silva},
  year = {2015},
  publisher = {ACM},
  address = {New York, NY, USA},
  isbn = {978-1-4503-3472-3},
  doi = {10.1145/2739480.2754642},
  url = {http://doi.acm.org/10.1145/2739480.2754642},
  note = {Publication status: Published}
}

Kotthoff, L., Kerschke, P., Hoos, H. H., & Trautmann, H. (2015). Improving the State of the Art in Inexact TSP Solving using Per-Instance Algorithm Selection. In Dhaenens, C., Jourdan, L., & Marmion, M.-E. (Eds.), Learning and Intelligent Optimization, 9th International Conference (pp. 202–217). Cham: Springer International Publishing.
More details BibTeX Full text DOI

@inproceedings{KotthoffKHT2015ImprovingThe,
  author = {Lars Kotthoff and Pascal Kerschke and Holger H Hoos and Heike Trautmann},
  title = {Improving the State of the Art in Inexact TSP Solving using Per-Instance Algorithm Selection},
  booktitle = {Learning and Intelligent Optimization, 9$^{th}$ International Conference},
  pages = {202--217},
  editor = {Clarisse Dhaenens and Laetitia Jourdan and Marie-Eléonore Marmion},
  year = {2015},
  publisher = {Springer International Publishing},
  address = {Cham},
  doi = {10.1007/978-3-319-19084-6_18},
  url = {http://download.springer.com/static/pdf/93/chp%253A10.1007%252F978-3-319-19084-6_18.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Fchapter%2F10.1007%2F978-3-319-19084-6_18&token2=exp=1483628705~acl=%2Fstatic%2Fpdf%2F93%2Fchp%25253A10.1007%25252F978-3-319-},
  note = {Publication status: Published}
}

Abstract in Online-Sammlung (Konferenz)

Martí, L., Grimme, C., Kerschke, P., Trautmann, H., & Rudolph, G. (2015). Averaged Hausdorff Approximations of Pareto Fronts Based on Multiobjective Estimation of Distribution Algorithms. Poster session presented at the Genetic and Evolutionary Computation Conference (GECCO '15), Madrid, Spain.
More details BibTeX Full text DOI

@misc{MartiGKTR2015AveragedHausdorff,
  author = {Luis Martí and Christian Grimme and Pascal Kerschke and Heike Trautmann and Günter Rudolph},
  title = {Averaged Hausdorff Approximations of Pareto Fronts Based on Multiobjective Estimation of Distribution Algorithms},
  year = {2015},
  doi = {10.1145/2739482.2764631},
  url = {http://doi.acm.org/10.1145/2739482.2764631},
  note = {Publication status: Published}
}

Other scientific publication

Bischl, B., Kerschke, P., Kotthoff, L., Lindauer, M. T., Malitsky, Y., Fréchette, A., Hoos, H. H., Hutter, F., Leyton-Brown, K., Tierney, K., & Vanschoren, J. (2015). ASlib: A Benchmark Library for Algorithm Selection.
More details BibTeX Full text

@techreport{BischlKKLMFHHLBTV2015ASlibABenchmark,
  author = {Bernd Bischl and Pascal Kerschke and Lars Kotthoff and Marius Thomas Lindauer and Yuri Malitsky and Alexandre Fréchette and Holger H Hoos and Frank Hutter and Kevin Leyton-Brown and Kevin Tierney and Joaquin Vanschoren},
  title = {ASlib: A Benchmark Library for Algorithm Selection},
  institution = {},
  number = {abs/1506.02465},
  volume = {abs/1506.02465},
  year = {2015},
  url = {http://arxiv.org/abs/1506.02465},
  note = {Publication status: Published}
}

Research article in digital collection

Martí, L., Grimme, C., Kerschke, P., Trautmann, H., & Rudolph, G. (2015). Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms.
More details Full text DOI

2014

Research article (book contribution)

Kerschke, P., Preuss, M., Hernández, C., Schütze, O., Sun, J.-Q., Grimme, C., Rudolph, G., Bischl, B., & Trautmann, H. (2014). Cell Mapping Techniques for Exploratory Landscape Analysis. In Tantar, A.-A., Tantar, E., Sun, J.-Q., Zhang, W., Ding, Q., Schütze, O., Emmerich, M. T. M., Legrand, P., Del, M. P., & Coello, C. C. A. (Eds.), EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V (pp. 115–131). Advances in Intelligent Systems and Computing: Vol. 288. Cham: Springer International Publishing.
More details BibTeX Full text DOI

@incollection{KerschkePHSSGRBT2014CellMapping,
  author = {Pascal Kerschke and Mike Preuss and Carlos Hernández and Oliver Schütze and Jian-Qiao Sun and Christian Grimme and Günter Rudolph and Bernd Bischl and Heike Trautmann},
  title = {Cell Mapping Techniques for Exploratory Landscape Analysis},
  booktitle = {EVOLVE --- A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V},
  pages = {115--131},
  series = {Advances in Intelligent Systems and Computing},
  volume = {288},
  editor = {Alexandru-Adrian Tantar and Emilia Tantar and Jian-Qiao Sun and Wei Zhang and Qian Ding and Oliver Schütze and Michael T M Emmerich and Pierrick Legrand and Moral Pierre Del and Coello Carlos A Coello},
  year = {2014},
  publisher = {Springer International Publishing},
  address = {Cham},
  isbn = {978-3-319-07493-1},
  doi = {10.1007/978-3-319-07494-8_9},
  url = {http://dx.doi.org/10.1007/978-3-319-07494-8_9},
  note = {Publication status: Published}
}