Prof. Dr. rer. pol. Pascal KerschkePerson
Person
Contributors
- Chair of Big Data Analytics in Transportation (TT)- Full Professor
21 - 30 out of 62Page size: 10
62 Research output
2022
Parallel Problem Solving from Nature – PPSN XVII: 17th International Conference, PPSN 2022, Dortmund, Germany, September 10–14, 2022, Proceedings, Part I
Rudolph, G., Kononova, A. V., Aguirre, H., Kerschke, P., Ochoa, G. & Tušar, T., 2022, Springer, Cham. (Lecture Notes in Computer Science, Volume 13398).Research output: Book/Conference proceeding/Anthology/Report › Monograph › Contributed › peer-review
2021
Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization
Prager, R. P., Seiler, M. V., Trautmann, H. & Kerschke, P., 5 Dec 2021, 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
PublishedPeeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization
Grimme, C., Kerschke, P., Aspar, P., Trautmann, H., Preuss, M., Deutz, A. H. & Wang, H. & 1 others, , Dec 2021, In: Computers and Operations Research. 136, 105489.Research output: Contribution to journal › Research article › Contributed › peer-review
PublishedOn the potential of normalized TSP features for automated algorithm selection
Heins, J., Bossek, J., Pohl, J., Seiler, M., Trautmann, H. & Kerschke, P., 6 Sept 2021, FOGA 2021 - Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
PublishedLifting the Multimodality-Fog in Continuous Multi-objective Optimization
Kerschke, P. & Grimme, C., 2021, Natural Computing Series. p. 89-111 23 p.Research output: Contribution to book/Conference proceedings/Anthology/Report › Chapter in book/Anthology/Report › Contributed › peer-review
PublishedMulti 3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-objective Space by Means of Multiobjectivization
Aspar, P., Kerschke, P., Steinhoff, V., Trautmann, H. & Grimme, C., 2021, Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Proceedings. Ishibuchi, H., Zhang, Q., Cheng, R., Li, K., Li, H., Wang, H. & Zhou, A. (eds.). p. 311-322 12 p.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes
Schäpermeier, L., Grimme, C. & Kerschke, P., 2021, Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Proceedings. Ishibuchi, H., Zhang, Q., Cheng, R., Li, K., Li, H., Wang, H. & Zhou, A. (eds.). p. 632-644 13 p.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Published
2020
Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent
Steinhoff, V., Kerschke, P., Aspar, P., Trautmann, H. & Grimme, C., 1 Dec 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
PublishedPer-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis
Prager, R. P., Trautmann, H., Wang, H., Bäck, T. H. W. & Kerschke, P., 1 Dec 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
PublishedEnhancing Resilience of Deep Learning Networks by Means of Transferable Adversaries
Seiler, M., Trautmann, H. & Kerschke, P., 28 Sept 2020, 2020 International Joint Conference on Neural Networks (IJCNN).Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Published