3 Publications
2026 | Conference Paper | LibreCat-ID: 66095
Skvorc, Urban, Niki van Stein, Moritz Seiler, Britta Grimme, Thomas Bäck, and Heike Trautmann. “LLM Driven Design of Continuous Optimization Problems with Controllable High-Level Properties.” In Applications of Evolutionary Computation - 29th European Conference, EvoApplications 2026, Held as Part of EvoStar 2026, Toulouse, France, April 8-10, 2026, Proceedings, Part II, edited by Pablo García-Sánchez, Josefa Díaz lvarez, and Aidan Murphy, 16525:183–199. Lecture Notes in Computer Science. Springer, 2026. https://doi.org/10.1007/978-3-032-23607-4_12.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 58335
Seiler, Moritz, Urban Skvorc, Carola Doerr, and Heike Trautmann. “Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection.” In Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers, edited by Paola Festa, Daniele Ferone, Tommaso Pastore, and Ornella Pisacane, 14990:361–376. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-75623-8_29.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 60132
Seiler, Moritz, Urban Skvorc, Gjorgjina Cenikj, Carola Doerr, and Heike Trautmann. “Learned Features vs. Classical ELA on Affine BBOB Functions.” In Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II, edited by Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, and Thomas Bäck, 15149:137–153. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-70068-2_9.
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3 Publications
2026 | Conference Paper | LibreCat-ID: 66095
Skvorc, Urban, Niki van Stein, Moritz Seiler, Britta Grimme, Thomas Bäck, and Heike Trautmann. “LLM Driven Design of Continuous Optimization Problems with Controllable High-Level Properties.” In Applications of Evolutionary Computation - 29th European Conference, EvoApplications 2026, Held as Part of EvoStar 2026, Toulouse, France, April 8-10, 2026, Proceedings, Part II, edited by Pablo García-Sánchez, Josefa Díaz lvarez, and Aidan Murphy, 16525:183–199. Lecture Notes in Computer Science. Springer, 2026. https://doi.org/10.1007/978-3-032-23607-4_12.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 58335
Seiler, Moritz, Urban Skvorc, Carola Doerr, and Heike Trautmann. “Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection.” In Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers, edited by Paola Festa, Daniele Ferone, Tommaso Pastore, and Ornella Pisacane, 14990:361–376. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-75623-8_29.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 60132
Seiler, Moritz, Urban Skvorc, Gjorgjina Cenikj, Carola Doerr, and Heike Trautmann. “Learned Features vs. Classical ELA on Affine BBOB Functions.” In Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II, edited by Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, and Thomas Bäck, 15149:137–153. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-70068-2_9.
LibreCat
| DOI