Publications

Moritz Kuhtz, Johannes Gerritzen, Jens Wiegand, Andreas Hornig, and Maik Gude. Modelling delamination in fibre-reinforced composites subjected to through-thickness compression by an adapted cohesive law. 14th European LS-DYNA Users Conference, DYNAmore GmbH, October 2023. [PUMA: FIS_scads imported nopdf topic_engineering] URL

Dianzhao Li, and Ostap Okhrin. Vision-Based DRL Autonomous Driving Agent with Sim2Real Transfer. 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023, 866--873, Institute of Electrical and Electronics Engineers Inc., United States of America, 2023. [PUMA: FIS_scads imported topic_engineering zno] URL

Christian Genest, Ostap Okhrin, and Taras Bodnar. Preface to the Special Issue “Copula modeling from Abe Sklar to the present day”. Journal of Multivariate Analysis, (201)Academic Press Inc., May 2024. [PUMA: FIS_scads imported nopdf topic_engineering]

Fabian Hart, Ostap Okhrin, and Martin Treiber. Vessel-following model for inland waterways based on deep reinforcement learning. Ocean engineering, (281)Elsevier Science B.V., August 2023. [PUMA: FIS_scads imported topic_engineering yaff]

Konstantin Dietrich, Diederick Vermetten, Carola Doerr, and Pascal Kerschke. Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization. Proceedings of the Genetic and Evolutionary Computation Conference, 1007 -- 1016, Association for Computing Machinery (ACM), United States of America, Jul 14, 2024. [PUMA: FIS_scads imported topic_engineering yaff]

Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, and Heike Trautmann. Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization. 2024. [PUMA: topic_engineering imported] URL

Lennart Schäpermeier, and Pascal Kerschke. Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration. 2024. [PUMA: topic_engineering imported] URL

Moritz Vinzent Seiler, Pascal Kerschke, and Heike Trautmann. Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems. 2024. [PUMA: topic_engineering imported] URL

Pascal Kerschke, and Mike Preuss. Exploratory Landscape Analysis. Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 990–1007, Association for Computing Machinery, New York, NY, USA, Jul 24, 2023. [PUMA: topic_engineering imported] URL

Jonathan Heins, Lennart Schäpermeier, Pascal Kerschke, and Darrell Whitley. Dancing to the State of the Art? How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem. 2024. [PUMA: topic_engineering imported] URL

Lennart Schäpermeier, Christian Grimme, and Pascal Kerschke. Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems. IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council, (26):1306--1320, October 2022. [PUMA: topic_engineering imported]

Ankit Anil Chaudhari, Karthik K Srinivasan, Bhargava Rama Chilukuri, Martin Treiber, and Ostap Okhrin. Calibrating model parameters to trajectory data of mixed vehicular traffic. Transp. Res. Rec., (2676)1:718--735, SAGE Publications, January 2022. [PUMA: topic_engineering imported]