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Digging to the Ground Truth: Solving Multi-objective Gray-Box Optimization Problems through Hyperplane Elimination. In: Trujillo L, Hu T, eds. <i>Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2026, Centro Internacional de Convenciones CIC-ANDE, San Jose, Costa Rica, July 13-17, 2026</i>. 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(2026). Digging to the Ground Truth: Solving Multi-objective Gray-Box Optimization Problems through Hyperplane Elimination. In L. Trujillo &#38; T. Hu (Eds.), <i>Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2026, Centro Internacional de Convenciones CIC-ANDE, San Jose, Costa Rica, July 13-17, 2026</i> (pp. 134–142). 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Singh et al., vol. 15512, Springer, 2025, pp. 242–256, doi:<a href=\"https://doi.org/10.1007/978-981-96-3506-1_17\">10.1007/978-981-96-3506-1_17</a>.","bibtex":"@inproceedings{Vermetten_Rook_Preuß_de Nobel_Doerr_López-Ibáñez_Trautmann_Bäck_2025, series={Lecture Notes in Computer Science}, title={MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler}, volume={15512}, DOI={<a href=\"https://doi.org/10.1007/978-981-96-3506-1_17\">10.1007/978-981-96-3506-1_17</a>}, booktitle={Evolutionary Multi-Criterion Optimization - 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4-7, 2025, Proceedings, Part I}, publisher={Springer}, author={Vermetten, Diederick and Rook, Jeroen and Preuß, Oliver Ludger and de Nobel, Jacob and Doerr, Carola and López-Ibáñez, Manuel and Trautmann, Heike and Bäck, Thomas}, editor={Singh, Hemant K. and Ray, Tapabrata and Knowles, Joshua D. and Li, Xiaodong and Branke, Juergen and Wang, Bing and Oyama, Akira}, year={2025}, pages={242–256}, collection={Lecture Notes in Computer Science} }","ama":"Vermetten D, Rook J, Preuß OL, et al. 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Seiler, O. L. Preuß, and H. Trautmann, “RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025</i>, 2025, pp. 76–84, doi: <a href=\"https://doi.org/10.1145/3712256.3726478\">10.1145/3712256.3726478</a>.","apa":"Seiler, M., Preuß, O. L., &#38; Trautmann, H. (2025). RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces. In B. Filipic (Ed.), <i>Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025</i> (pp. 76–84). ACM. <a href=\"https://doi.org/10.1145/3712256.3726478\">https://doi.org/10.1145/3712256.3726478</a>","short":"M. Seiler, O.L. Preuß, H. Trautmann, in: B. 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Filipic (Ed.), <i>Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025</i> (pp. 58–66). ACM. <a href=\"https://doi.org/10.1145/3712256.3726481\">https://doi.org/10.1145/3712256.3726481</a>","bibtex":"@inproceedings{Preuß_Mensendiek_Rook_Bossek_Trautmann_2025, title={Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes}, DOI={<a href=\"https://doi.org/10.1145/3712256.3726481\">10.1145/3712256.3726481</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025}, publisher={ACM}, author={Preuß, Oliver Ludger and Mensendiek, Carolin and Rook, Jeroen and Bossek, Jakob and Trautmann, Heike}, editor={Filipic, Bogdan}, year={2025}, pages={58–66} }","ama":"Preuß OL, Mensendiek C, Rook J, Bossek J, Trautmann H. Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes. In: Filipic B, ed. <i>Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025</i>. ACM; 2025:58–66. doi:<a href=\"https://doi.org/10.1145/3712256.3726481\">10.1145/3712256.3726481</a>","short":"O.L. Preuß, C. Mensendiek, J. Rook, J. Bossek, H. Trautmann, in: B. Filipic (Ed.), Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025, ACM, 2025, pp. 58–66.","chicago":"Preuß, Oliver Ludger, Carolin Mensendiek, Jeroen Rook, Jakob Bossek, and Heike Trautmann. “Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025</i>, edited by Bogdan Filipic, 58–66. ACM, 2025. <a href=\"https://doi.org/10.1145/3712256.3726481\">https://doi.org/10.1145/3712256.3726481</a>."},"type":"conference","department":[{"_id":"819"}],"date_created":"2025-07-29T06:11:51Z"},{"department":[{"_id":"819"}],"type":"book_chapter","date_created":"2024-03-25T08:22:57Z","place":"Cham","citation":{"short":"O.L. Preuß, J. Rook, H. Trautmann, in: Applications of Evolutionary Computation, Springer Nature Switzerland, Cham, 2024.","chicago":"Preuß, Oliver Ludger, Jeroen Rook, and Heike Trautmann. “On the Potential of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems.” In <i>Applications of Evolutionary Computation</i>. Cham: Springer Nature Switzerland, 2024. <a href=\"https://doi.org/10.1007/978-3-031-56852-7_20\">https://doi.org/10.1007/978-3-031-56852-7_20</a>.","ieee":"O. L. Preuß, J. Rook, and H. Trautmann, “On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems,” in <i>Applications of Evolutionary Computation</i>, Cham: Springer Nature Switzerland, 2024.","apa":"Preuß, O. L., Rook, J., &#38; Trautmann, H. (2024). On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems. In <i>Applications of Evolutionary Computation</i>. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-56852-7_20\">https://doi.org/10.1007/978-3-031-56852-7_20</a>","bibtex":"@inbook{Preuß_Rook_Trautmann_2024, place={Cham}, title={On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-56852-7_20\">10.1007/978-3-031-56852-7_20</a>}, booktitle={Applications of Evolutionary Computation}, publisher={Springer Nature Switzerland}, author={Preuß, Oliver Ludger and Rook, Jeroen and Trautmann, Heike}, year={2024} }","ama":"Preuß OL, Rook J, Trautmann H. On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems. In: <i>Applications of Evolutionary Computation</i>. Springer Nature Switzerland; 2024. doi:<a href=\"https://doi.org/10.1007/978-3-031-56852-7_20\">10.1007/978-3-031-56852-7_20</a>","mla":"Preuß, Oliver Ludger, et al. “On the Potential of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems.” <i>Applications of Evolutionary Computation</i>, Springer Nature Switzerland, 2024, doi:<a href=\"https://doi.org/10.1007/978-3-031-56852-7_20\">10.1007/978-3-031-56852-7_20</a>."},"publication":"Applications of Evolutionary Computation","user_id":"15504","doi":"10.1007/978-3-031-56852-7_20","_id":"52759","language":[{"iso":"eng"}],"publisher":"Springer Nature Switzerland","publication_status":"published","date_updated":"2024-06-10T11:55:38Z","author":[{"full_name":"Preuß, Oliver Ludger","first_name":"Oliver Ludger","last_name":"Preuß","orcid":"0009-0008-9308-2418","id":"102978"},{"last_name":"Rook","first_name":"Jeroen","full_name":"Rook, Jeroen"},{"orcid":"0000-0002-9788-8282","last_name":"Trautmann","first_name":"Heike","full_name":"Trautmann, Heike","id":"100740"}],"publication_identifier":{"isbn":["9783031568510","9783031568527"],"issn":["0302-9743","1611-3349"]},"year":"2024","status":"public","title":"On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems"},{"author":[{"id":"105520","full_name":"Seiler, Moritz","first_name":"Moritz","last_name":"Seiler"},{"full_name":"Rook, Jeroen","first_name":"Jeroen","last_name":"Rook"},{"last_name":"Heins","first_name":"Jonathan","full_name":"Heins, Jonathan"},{"first_name":"Oliver Ludger","orcid":"0009-0008-9308-2418","last_name":"Preuß","full_name":"Preuß, Oliver Ludger","id":"102978"},{"id":"102979","full_name":"Bossek, Jakob","first_name":"Jakob","orcid":"0000-0002-4121-4668","last_name":"Bossek"},{"id":"100740","full_name":"Trautmann, Heike","orcid":"0000-0002-9788-8282","last_name":"Trautmann","first_name":"Heike"}],"year":"2024","title":"Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP","status":"public","date_updated":"2024-06-10T11:59:44Z","publication_status":"published","publisher":"IEEE","_id":"52749","language":[{"iso":"eng"}],"doi":"10.1109/ssci52147.2023.10372008","user_id":"15504","citation":{"ieee":"M. Seiler, J. Rook, J. Heins, O. L. Preuß, J. Bossek, and H. Trautmann, “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP,” 2024, doi: <a href=\"https://doi.org/10.1109/ssci52147.2023.10372008\">10.1109/ssci52147.2023.10372008</a>.","apa":"Seiler, M., Rook, J., Heins, J., Preuß, O. L., Bossek, J., &#38; Trautmann, H. (2024). Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. <i>2023 IEEE Symposium Series on Computational Intelligence (SSCI)</i>. <a href=\"https://doi.org/10.1109/ssci52147.2023.10372008\">https://doi.org/10.1109/ssci52147.2023.10372008</a>","chicago":"Seiler, Moritz, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, and Heike Trautmann. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.” In <i>2023 IEEE Symposium Series on Computational Intelligence (SSCI)</i>. IEEE, 2024. <a href=\"https://doi.org/10.1109/ssci52147.2023.10372008\">https://doi.org/10.1109/ssci52147.2023.10372008</a>.","short":"M. Seiler, J. Rook, J. Heins, O.L. Preuß, J. Bossek, H. Trautmann, in: 2023 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2024.","mla":"Seiler, Moritz, et al. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.” <i>2023 IEEE Symposium Series on Computational Intelligence (SSCI)</i>, IEEE, 2024, doi:<a href=\"https://doi.org/10.1109/ssci52147.2023.10372008\">10.1109/ssci52147.2023.10372008</a>.","bibtex":"@inproceedings{Seiler_Rook_Heins_Preuß_Bossek_Trautmann_2024, title={Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP}, DOI={<a href=\"https://doi.org/10.1109/ssci52147.2023.10372008\">10.1109/ssci52147.2023.10372008</a>}, booktitle={2023 IEEE Symposium Series on Computational Intelligence (SSCI)}, publisher={IEEE}, author={Seiler, Moritz and Rook, Jeroen and Heins, Jonathan and Preuß, Oliver Ludger and Bossek, Jakob and Trautmann, Heike}, year={2024} }","ama":"Seiler M, Rook J, Heins J, Preuß OL, Bossek J, Trautmann H. Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. In: <i>2023 IEEE Symposium Series on Computational Intelligence (SSCI)</i>. IEEE; 2024. doi:<a href=\"https://doi.org/10.1109/ssci52147.2023.10372008\">10.1109/ssci52147.2023.10372008</a>"},"publication":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","date_created":"2024-03-25T08:15:01Z","department":[{"_id":"819"}],"type":"conference"},{"volume":14634,"editor":[{"last_name":"Smith","first_name":"Stephen L.","full_name":"Smith, Stephen L."},{"full_name":"Correia, João","last_name":"Correia","first_name":"João"},{"full_name":"Cintrano, Christian","first_name":"Christian","last_name":"Cintrano"}],"user_id":"15504","doi":"10.1007/978-3-031-56852-7_20","series_title":"Lecture Notes in Computer Science","_id":"60131","publisher":"Springer","language":[{"iso":"eng"}],"page":"305–321","intvolume":"     14634","date_updated":"2025-06-05T06:01:02Z","author":[{"full_name":"Preuß, Oliver Ludger","last_name":"Preuß","orcid":"0009-0008-9308-2418","first_name":"Oliver Ludger","id":"102978"},{"first_name":"Jeroen","last_name":"Rook","full_name":"Rook, Jeroen","id":"102977"},{"id":"100740","orcid":"0000-0002-9788-8282","last_name":"Trautmann","first_name":"Heike","full_name":"Trautmann, Heike"}],"year":"2024","status":"public","title":"On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems","type":"conference","date_created":"2025-06-04T12:47:35Z","citation":{"apa":"Preuß, O. L., Rook, J., &#38; Trautmann, H. (2024). On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems. In S. L. Smith, J. Correia, &#38; C. Cintrano (Eds.), <i>Applications of Evolutionary Computation - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part I</i> (Vol. 14634, pp. 305–321). Springer. <a href=\"https://doi.org/10.1007/978-3-031-56852-7_20\">https://doi.org/10.1007/978-3-031-56852-7_20</a>","mla":"Preuß, Oliver Ludger, et al. “On the Potential of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems.” <i>Applications of Evolutionary Computation - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part I</i>, edited by Stephen L. Smith et al., vol. 14634, Springer, 2024, pp. 305–321, doi:<a href=\"https://doi.org/10.1007/978-3-031-56852-7_20\">10.1007/978-3-031-56852-7_20</a>.","ieee":"O. L. Preuß, J. Rook, and H. Trautmann, “On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems,” in <i>Applications of Evolutionary Computation - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part I</i>, 2024, vol. 14634, pp. 305–321, doi: <a href=\"https://doi.org/10.1007/978-3-031-56852-7_20\">10.1007/978-3-031-56852-7_20</a>.","short":"O.L. Preuß, J. Rook, H. Trautmann, in: S.L. Smith, J. Correia, C. Cintrano (Eds.), Applications of Evolutionary Computation - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part I, Springer, 2024, pp. 305–321.","ama":"Preuß OL, Rook J, Trautmann H. On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems. In: Smith SL, Correia J, Cintrano C, eds. <i>Applications of Evolutionary Computation - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part I</i>. Vol 14634. Lecture Notes in Computer Science. Springer; 2024:305–321. doi:<a href=\"https://doi.org/10.1007/978-3-031-56852-7_20\">10.1007/978-3-031-56852-7_20</a>","chicago":"Preuß, Oliver Ludger, Jeroen Rook, and Heike Trautmann. “On the Potential of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems.” In <i>Applications of Evolutionary Computation - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part I</i>, edited by Stephen L. Smith, João Correia, and Christian Cintrano, 14634:305–321. Lecture Notes in Computer Science. Springer, 2024. <a href=\"https://doi.org/10.1007/978-3-031-56852-7_20\">https://doi.org/10.1007/978-3-031-56852-7_20</a>.","bibtex":"@inproceedings{Preuß_Rook_Trautmann_2024, series={Lecture Notes in Computer Science}, title={On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems}, volume={14634}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-56852-7_20\">10.1007/978-3-031-56852-7_20</a>}, booktitle={Applications of Evolutionary Computation - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part I}, publisher={Springer}, author={Preuß, Oliver Ludger and Rook, Jeroen and Trautmann, Heike}, editor={Smith, Stephen L. and Correia, João and Cintrano, Christian}, year={2024}, pages={305–321}, collection={Lecture Notes in Computer Science} }"},"publication":"Applications of Evolutionary Computation - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part I"},{"publication":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","citation":{"mla":"Seiler, Moritz, et al. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.” <i>2023 IEEE Symposium Series on Computational Intelligence (SSCI)</i>, pp. 361–68, doi:<a href=\"https://doi.org/10.1109/SSCI52147.2023.10372008\">10.1109/SSCI52147.2023.10372008</a>.","bibtex":"@inproceedings{Seiler_Rook_Heins_Preuß_Bossek_Trautmann, title={Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP}, DOI={<a href=\"https://doi.org/10.1109/SSCI52147.2023.10372008\">10.1109/SSCI52147.2023.10372008</a>}, booktitle={2023 IEEE Symposium Series on Computational Intelligence (SSCI)}, author={Seiler, Moritz and Rook, Jeroen and Heins, Jonathan and Preuß, Oliver Ludger and Bossek, Jakob and Trautmann, Heike}, pages={361–368} }","ama":"Seiler M, Rook J, Heins J, Preuß OL, Bossek J, Trautmann H. Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. In: <i>2023 IEEE Symposium Series on Computational Intelligence (SSCI)</i>. ; :361-368. doi:<a href=\"https://doi.org/10.1109/SSCI52147.2023.10372008\">10.1109/SSCI52147.2023.10372008</a>","ieee":"M. Seiler, J. Rook, J. Heins, O. L. Preuß, J. Bossek, and H. Trautmann, “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP,” in <i>2023 IEEE Symposium Series on Computational Intelligence (SSCI)</i>, pp. 361–368, doi: <a href=\"https://doi.org/10.1109/SSCI52147.2023.10372008\">10.1109/SSCI52147.2023.10372008</a>.","apa":"Seiler, M., Rook, J., Heins, J., Preuß, O. L., Bossek, J., &#38; Trautmann, H. (n.d.). Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. <i>2023 IEEE Symposium Series on Computational Intelligence (SSCI)</i>, 361–368. <a href=\"https://doi.org/10.1109/SSCI52147.2023.10372008\">https://doi.org/10.1109/SSCI52147.2023.10372008</a>","chicago":"Seiler, Moritz, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, and Heike Trautmann. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.” In <i>2023 IEEE Symposium Series on Computational Intelligence (SSCI)</i>, 361–68, n.d. <a href=\"https://doi.org/10.1109/SSCI52147.2023.10372008\">https://doi.org/10.1109/SSCI52147.2023.10372008</a>.","short":"M. Seiler, J. Rook, J. Heins, O.L. Preuß, J. Bossek, H. Trautmann, in: 2023 IEEE Symposium Series on Computational Intelligence (SSCI), n.d., pp. 361–368."},"extern":"1","abstract":[{"text":"Automated Algorithm Configuration (AAC) usually takes a global perspective: it identifies a parameter configuration for an (optimization) algorithm that maximizes a performance metric over a set of instances. However, the optimal choice of parameters strongly depends on the instance at hand and should thus be calculated on a per-instance basis. We explore the potential of Per-Instance Algorithm Configuration (PIAC) by using Reinforcement Learning (RL). To this end, we propose a novel PIAC approach that is based on deep neural networks. We apply it to predict configurations for the Lin\\textendash Kernighan heuristic (LKH) for the Traveling Salesperson Problem (TSP) individually for every single instance. To train our PIAC approach, we create a large set of 100000 TSP instances with 2000 nodes each \\textemdash currently the largest benchmark set to the best of our knowledge. We compare our approach to the state-of-the-art AAC method Sequential Model-based Algorithm Configuration (SMAC). The results show that our PIAC approach outperforms this baseline on both the newly created instance set and established instance sets.","lang":"eng"}],"date_created":"2023-11-14T15:59:01Z","type":"conference","department":[{"_id":"819"}],"status":"public","title":"Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP","year":"2023","author":[{"id":"105520","first_name":"Moritz","last_name":"Seiler","full_name":"Seiler, Moritz"},{"last_name":"Rook","first_name":"Jeroen","full_name":"Rook, Jeroen"},{"full_name":"Heins, Jonathan","last_name":"Heins","first_name":"Jonathan"},{"id":"102978","orcid":"0009-0008-9308-2418","last_name":"Preuß","first_name":"Oliver Ludger","full_name":"Preuß, Oliver Ludger"},{"full_name":"Bossek, Jakob","orcid":"0000-0002-4121-4668","first_name":"Jakob","last_name":"Bossek","id":"102979"},{"full_name":"Trautmann, Heike","last_name":"Trautmann","orcid":"0000-0002-9788-8282","first_name":"Heike","id":"100740"}],"publication_status":"accepted","date_updated":"2024-06-10T11:56:58Z","page":"361 - 368","_id":"48898","language":[{"iso":"eng"}],"user_id":"15504","doi":"10.1109/SSCI52147.2023.10372008"}]