Prof. Dr. rer. pol. Pascal KerschkePerson
Person
Contributors
- Chair of Big Data Analytics in Transportation (TT)- Full Professor
31 - 40 out of 62Page size: 10
62 Research output
2020
Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection
Bossek, J., Kerschke, P. & Trautmann, H., 3 Sept 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
PublishedBenchmarking in Optimization: Best Practice and Open Issues
Bartz-Beielstein, T., Doerr, C., Berg, D. V. D., Bossek, J., Chandrasekaran, S., Eftimov, T. & Fischbach, A. & 10 others, , 7 Jul 2020Research output: Other contribution › Other › Contributed
PublishedThe Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics
Bossek, J., Casel, K., Kerschke, P. & Neumann, F., 26 Jun 2020, 2020 Genetic and Evolutionary Computation Conference.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
PublishedInitial design strategies and their effects on sequential model-based optimization: an exploratory case study based on BBOB
Bossek, J., Doerr, C. & Kerschke, P., 25 Jun 2020, Proceedings of the 2020 Genetic and Evolutionary Computation Conference.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
PublishedA multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms
Bossek, J., Kerschke, P. & Trautmann, H., Mar 2020, In: Applied soft computing : the official journal of the World Federation on Soft Computing (WFSC). 88, 105901.Research output: Contribution to journal › Research article › Contributed › peer-review
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem
Seiler, M., Pohl, J., Bossek, J., Kerschke, P. & Trautmann, H., 2020, Parallel Problem Solving from Nature – PPSN XVI.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
PublishedEvolving Sampling Strategies for One-Shot Optimization Tasks
Bossek, J., Doerr, C., Kerschke, P., Neumann, A. & Neumann, F., 2020, Parallel Problem Solving from Nature – PPSN XVI.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
PublishedOne PLOT to Show Them All: Visualization of Efficient Sets in Multi-objective Landscapes
Schäpermeier, L., Grimme, C. & Kerschke, P., 2020, 16th International Conference on Parallel Problem Solving from Nature.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Published
2019
Search Dynamics on Multimodal Multiobjective Problems
Kerschke, P., Wang, H., Preuss, M., Grimme, C., Deutz, A. H., Trautmann, H. & Emmerich, M. T. M., Dec 2019, In: Evolutionary Computation. 27, 4, p. 577–609Research output: Contribution to journal › Research article › Contributed › peer-review
OpenML: An R package to connect to the machine learning platform OpenML
Casalicchio, G., Bossek, J., Lang, M., Kirchhoff, D., Kerschke, P., Hofner, B. & Seibold, H. & 2 others, , Sept 2019, In: Computational statistics. 34, p. 977–991Research output: Contribution to journal › Research article › Contributed › peer-review