4 Publications
2026 | Conference Paper | LibreCat-ID: 66095
Skvorc, U., van Stein, N., Seiler, M., Grimme, B., Bäck, T., & Trautmann, H. (2026). LLM Driven Design of Continuous Optimization Problems with Controllable High-Level Properties. In P. García-Sánchez, J. D. lvarez, & A. Murphy (Eds.), Applications of Evolutionary Computation - 29th European Conference, EvoApplications 2026, Held as Part of EvoStar 2026, Toulouse, France, April 8-10, 2026, Proceedings, Part II (Vol. 16525, pp. 183–199). Springer. https://doi.org/10.1007/978-3-032-23607-4_12
LibreCat
| DOI
2026 | Conference Paper | LibreCat-ID: 67149
Fudali, F., Skvorc, U., Grimme, C., & Bossek, J. (2026). Inexact Sorting in the USGS Operator for the Bi-Objective Minimum Spanning Tree Problem. In L. Trujillo & T. Hu (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2026, Centro Internacional de Convenciones CIC-ANDE, San Jose, Costa Rica, July 13-17, 2026 (pp. 1619–1622). ACM. https://doi.org/10.1145/3795101.3814667
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 58335
Seiler, M., Skvorc, U., Doerr, C., & Trautmann, H. (2024). Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection. In P. Festa, D. Ferone, T. Pastore, & O. Pisacane (Eds.), Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers (Vol. 14990, pp. 361–376). Springer. https://doi.org/10.1007/978-3-031-75623-8_29
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 60132
Seiler, M., Skvorc, U., Cenikj, G., Doerr, C., & Trautmann, H. (2024). Learned Features vs. Classical ELA on Affine BBOB Functions. In M. Affenzeller, S. M. Winkler, A. V. Kononova, H. Trautmann, T. Tusar, P. Machado, & T. Bäck (Eds.), Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II (Vol. 15149, pp. 137–153). Springer. https://doi.org/10.1007/978-3-031-70068-2_9
LibreCat
| DOI
4 Publications
2026 | Conference Paper | LibreCat-ID: 66095
Skvorc, U., van Stein, N., Seiler, M., Grimme, B., Bäck, T., & Trautmann, H. (2026). LLM Driven Design of Continuous Optimization Problems with Controllable High-Level Properties. In P. García-Sánchez, J. D. lvarez, & A. Murphy (Eds.), Applications of Evolutionary Computation - 29th European Conference, EvoApplications 2026, Held as Part of EvoStar 2026, Toulouse, France, April 8-10, 2026, Proceedings, Part II (Vol. 16525, pp. 183–199). Springer. https://doi.org/10.1007/978-3-032-23607-4_12
LibreCat
| DOI
2026 | Conference Paper | LibreCat-ID: 67149
Fudali, F., Skvorc, U., Grimme, C., & Bossek, J. (2026). Inexact Sorting in the USGS Operator for the Bi-Objective Minimum Spanning Tree Problem. In L. Trujillo & T. Hu (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2026, Centro Internacional de Convenciones CIC-ANDE, San Jose, Costa Rica, July 13-17, 2026 (pp. 1619–1622). ACM. https://doi.org/10.1145/3795101.3814667
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 58335
Seiler, M., Skvorc, U., Doerr, C., & Trautmann, H. (2024). Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection. In P. Festa, D. Ferone, T. Pastore, & O. Pisacane (Eds.), Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers (Vol. 14990, pp. 361–376). Springer. https://doi.org/10.1007/978-3-031-75623-8_29
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 60132
Seiler, M., Skvorc, U., Cenikj, G., Doerr, C., & Trautmann, H. (2024). Learned Features vs. Classical ELA on Affine BBOB Functions. In M. Affenzeller, S. M. Winkler, A. V. Kononova, H. Trautmann, T. Tusar, P. Machado, & T. Bäck (Eds.), Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II (Vol. 15149, pp. 137–153). Springer. https://doi.org/10.1007/978-3-031-70068-2_9
LibreCat
| DOI