---
_id: '63633'
author:
- first_name: Theresa
full_name: Eimer, Theresa
last_name: Eimer
- first_name: Lennart
full_name: Schäpermeier, Lennart
last_name: Schäpermeier
- first_name: André
full_name: Biedenkapp, André
last_name: Biedenkapp
- first_name: Alexander
full_name: Tornede, Alexander
last_name: Tornede
- first_name: Lars
full_name: Kotthoff, Lars
last_name: Kotthoff
- first_name: Pieter
full_name: Leyman, Pieter
last_name: Leyman
- first_name: Matthias
full_name: Feurer, Matthias
last_name: Feurer
- first_name: Katharina
full_name: Eggensperger, Katharina
last_name: Eggensperger
- first_name: Kaitlin
full_name: Maile, Kaitlin
last_name: Maile
- first_name: Tanja
full_name: Tornede, Tanja
last_name: Tornede
- first_name: Anna
full_name: Kozak, Anna
last_name: Kozak
- first_name: Ke
full_name: Xue, Ke
last_name: Xue
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
last_name: Wever
- first_name: Mitra
full_name: Baratchi, Mitra
last_name: Baratchi
- first_name: Damir
full_name: Pulatov, Damir
last_name: Pulatov
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Haniye
full_name: Kashgarani, Haniye
last_name: Kashgarani
- first_name: Marius
full_name: Lindauer, Marius
last_name: Lindauer
citation:
ama: 'Eimer T, Schäpermeier L, Biedenkapp A, et al. Best Practices For Empirical
Meta-Algorithmic Research: Guidelines from the COSEAL Research Network.; 2025.
doi:DOI:10.48550/arXiv.2512.16491'
apa: 'Eimer, T., Schäpermeier, L., Biedenkapp, A., Tornede, A., Kotthoff, L., Leyman,
P., Feurer, M., Eggensperger, K., Maile, K., Tornede, T., Kozak, A., Xue, K.,
Wever, M. D., Baratchi, M., Pulatov, D., Trautmann, H., Kashgarani, H., &
Lindauer, M. (2025). Best Practices For Empirical Meta-Algorithmic Research:
Guidelines from the COSEAL Research Network. https://doi.org/DOI:10.48550/arXiv.2512.16491'
bibtex: '@book{Eimer_Schäpermeier_Biedenkapp_Tornede_Kotthoff_Leyman_Feurer_Eggensperger_Maile_Tornede_et
al._2025, title={Best Practices For Empirical Meta-Algorithmic Research: Guidelines
from the COSEAL Research Network}, DOI={DOI:10.48550/arXiv.2512.16491},
author={Eimer, Theresa and Schäpermeier, Lennart and Biedenkapp, André and Tornede,
Alexander and Kotthoff, Lars and Leyman, Pieter and Feurer, Matthias and Eggensperger,
Katharina and Maile, Kaitlin and Tornede, Tanja and et al.}, year={2025} }'
chicago: 'Eimer, Theresa, Lennart Schäpermeier, André Biedenkapp, Alexander Tornede,
Lars Kotthoff, Pieter Leyman, Matthias Feurer, et al. Best Practices For Empirical
Meta-Algorithmic Research: Guidelines from the COSEAL Research Network, 2025.
https://doi.org/DOI:10.48550/arXiv.2512.16491.'
ieee: 'T. Eimer et al., Best Practices For Empirical Meta-Algorithmic
Research: Guidelines from the COSEAL Research Network. 2025.'
mla: 'Eimer, Theresa, et al. Best Practices For Empirical Meta-Algorithmic Research:
Guidelines from the COSEAL Research Network. 2025, doi:DOI:10.48550/arXiv.2512.16491.'
short: 'T. Eimer, L. Schäpermeier, A. Biedenkapp, A. Tornede, L. Kotthoff, P. Leyman,
M. Feurer, K. Eggensperger, K. Maile, T. Tornede, A. Kozak, K. Xue, M.D. Wever,
M. Baratchi, D. Pulatov, H. Trautmann, H. Kashgarani, M. Lindauer, Best Practices
For Empirical Meta-Algorithmic Research: Guidelines from the COSEAL Research Network,
2025.'
date_created: 2026-01-15T13:19:13Z
date_updated: 2026-01-15T13:21:36Z
department:
- _id: '819'
doi: DOI:10.48550/arXiv.2512.16491
language:
- iso: eng
status: public
title: 'Best Practices For Empirical Meta-Algorithmic Research: Guidelines from the
COSEAL Research Network'
type: report
user_id: '15504'
year: '2025'
...
---
_id: '63703'
author:
- first_name: Tilman
full_name: Hoffbauer, Tilman
last_name: Hoffbauer
- first_name: Holger H.
full_name: Hoos, Holger H.
last_name: Hoos
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
citation:
ama: 'Hoffbauer T, Hoos HH, Bossek J. KernelMatmul: Scaling Gaussian Processes to
Large Time Series. In: Walsh T, Shah J, Kolter Z, eds. AAAI-25, Sponsored by
the Association for the Advancement of Artificial Intelligence, February 25 -
March 4, 2025, Philadelphia, PA, USA. AAAI Press; 2025:17223–17230. doi:10.1609/AAAI.V39I16.33893'
apa: 'Hoffbauer, T., Hoos, H. H., & Bossek, J. (2025). KernelMatmul: Scaling
Gaussian Processes to Large Time Series. In T. Walsh, J. Shah, & Z. Kolter
(Eds.), AAAI-25, Sponsored by the Association for the Advancement of Artificial
Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA (pp. 17223–17230).
AAAI Press. https://doi.org/10.1609/AAAI.V39I16.33893'
bibtex: '@inproceedings{Hoffbauer_Hoos_Bossek_2025, title={KernelMatmul: Scaling
Gaussian Processes to Large Time Series}, DOI={10.1609/AAAI.V39I16.33893},
booktitle={AAAI-25, Sponsored by the Association for the Advancement of Artificial
Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA}, publisher={AAAI
Press}, author={Hoffbauer, Tilman and Hoos, Holger H. and Bossek, Jakob}, editor={Walsh,
Toby and Shah, Julie and Kolter, Zico}, year={2025}, pages={17223–17230} }'
chicago: 'Hoffbauer, Tilman, Holger H. Hoos, and Jakob Bossek. “KernelMatmul: Scaling
Gaussian Processes to Large Time Series.” In AAAI-25, Sponsored by the Association
for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia,
PA, USA, edited by Toby Walsh, Julie Shah, and Zico Kolter, 17223–17230. AAAI
Press, 2025. https://doi.org/10.1609/AAAI.V39I16.33893.'
ieee: 'T. Hoffbauer, H. H. Hoos, and J. Bossek, “KernelMatmul: Scaling Gaussian
Processes to Large Time Series,” in AAAI-25, Sponsored by the Association for
the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia,
PA, USA, 2025, pp. 17223–17230, doi: 10.1609/AAAI.V39I16.33893.'
mla: 'Hoffbauer, Tilman, et al. “KernelMatmul: Scaling Gaussian Processes to Large
Time Series.” AAAI-25, Sponsored by the Association for the Advancement of
Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA,
edited by Toby Walsh et al., AAAI Press, 2025, pp. 17223–17230, doi:10.1609/AAAI.V39I16.33893.'
short: 'T. Hoffbauer, H.H. Hoos, J. Bossek, in: T. Walsh, J. Shah, Z. Kolter (Eds.),
AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence,
February 25 - March 4, 2025, Philadelphia, PA, USA, AAAI Press, 2025, pp. 17223–17230.'
date_created: 2026-01-22T14:42:21Z
date_updated: 2026-01-22T14:45:23Z
department:
- _id: '819'
doi: 10.1609/AAAI.V39I16.33893
editor:
- first_name: Toby
full_name: Walsh, Toby
last_name: Walsh
- first_name: Julie
full_name: Shah, Julie
last_name: Shah
- first_name: Zico
full_name: Kolter, Zico
last_name: Kolter
language:
- iso: eng
page: 17223–17230
publication: AAAI-25, Sponsored by the Association for the Advancement of Artificial
Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA
publisher: AAAI Press
status: public
title: 'KernelMatmul: Scaling Gaussian Processes to Large Time Series'
type: conference
user_id: '15504'
year: '2025'
...
---
_id: '63704'
author:
- first_name: Dominic
full_name: Wittner, Dominic
last_name: Wittner
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
citation:
ama: 'Wittner D, Bossek J. Cluster Prevention in Evolutionary Diversity Optimization
for Parallel Machine Scheduling. In: Filipic B, ed. Proceedings of the Genetic
and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga,
Spain, July 14-18, 2025. ACM; 2025:340–348. doi:10.1145/3712256.3726357'
apa: Wittner, D., & Bossek, J. (2025). Cluster Prevention in Evolutionary Diversity
Optimization for Parallel Machine Scheduling. In B. Filipic (Ed.), Proceedings
of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga
Hotel, Malaga, Spain, July 14-18, 2025 (pp. 340–348). ACM. https://doi.org/10.1145/3712256.3726357
bibtex: '@inproceedings{Wittner_Bossek_2025, title={Cluster Prevention in Evolutionary
Diversity Optimization for Parallel Machine Scheduling}, DOI={10.1145/3712256.3726357},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference,
GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025}, publisher={ACM},
author={Wittner, Dominic and Bossek, Jakob}, editor={Filipic, Bogdan}, year={2025},
pages={340–348} }'
chicago: Wittner, Dominic, and Jakob Bossek. “Cluster Prevention in Evolutionary
Diversity Optimization for Parallel Machine Scheduling.” In Proceedings of
the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel,
Malaga, Spain, July 14-18, 2025, edited by Bogdan Filipic, 340–348. ACM, 2025.
https://doi.org/10.1145/3712256.3726357.
ieee: 'D. Wittner and J. Bossek, “Cluster Prevention in Evolutionary Diversity Optimization
for Parallel Machine Scheduling,” in Proceedings of the Genetic and Evolutionary
Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18,
2025, 2025, pp. 340–348, doi: 10.1145/3712256.3726357.'
mla: Wittner, Dominic, and Jakob Bossek. “Cluster Prevention in Evolutionary Diversity
Optimization for Parallel Machine Scheduling.” Proceedings of the Genetic and
Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain,
July 14-18, 2025, edited by Bogdan Filipic, ACM, 2025, pp. 340–348, doi:10.1145/3712256.3726357.
short: 'D. Wittner, J. Bossek, 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. 340–348.'
date_created: 2026-01-22T14:42:45Z
date_updated: 2026-01-22T14:46:04Z
department:
- _id: '819'
doi: 10.1145/3712256.3726357
editor:
- first_name: Bogdan
full_name: Filipic, Bogdan
last_name: Filipic
language:
- iso: eng
page: 340–348
publication: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO
2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025
publisher: ACM
status: public
title: Cluster Prevention in Evolutionary Diversity Optimization for Parallel Machine
Scheduling
type: conference
user_id: '15504'
year: '2025'
...
---
_id: '61918'
author:
- first_name: Jeroen
full_name: Rook, Jeroen
id: '102977'
last_name: Rook
- first_name: Quentin
full_name: Renau, Quentin
last_name: Renau
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Emma
full_name: Hart, Emma
last_name: Hart
citation:
ama: 'Rook J, Renau Q, Trautmann H, Hart E. Efficient Online Automated Algorithm
Selection in the Face of Data-Drift in Optimisation Problem Instances. In: Proceedings
of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA 2025,
Leiden, The Netherlands, August 27-29, 2025. ACM; 2025:262–272. doi:10.1145/3729878.3746615'
apa: Rook, J., Renau, Q., Trautmann, H., & Hart, E. (2025). Efficient Online
Automated Algorithm Selection in the Face of Data-Drift in Optimisation Problem
Instances. Proceedings of the 18th ACM/SIGEVO Conference on Foundations of
Genetic Algorithms, FOGA 2025, Leiden, The Netherlands, August 27-29, 2025,
262–272. https://doi.org/10.1145/3729878.3746615
bibtex: '@inproceedings{Rook_Renau_Trautmann_Hart_2025, title={Efficient Online
Automated Algorithm Selection in the Face of Data-Drift in Optimisation Problem
Instances}, DOI={10.1145/3729878.3746615},
booktitle={Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic
Algorithms, FOGA 2025, Leiden, The Netherlands, August 27-29, 2025}, publisher={ACM},
author={Rook, Jeroen and Renau, Quentin and Trautmann, Heike and Hart, Emma},
year={2025}, pages={262–272} }'
chicago: Rook, Jeroen, Quentin Renau, Heike Trautmann, and Emma Hart. “Efficient
Online Automated Algorithm Selection in the Face of Data-Drift in Optimisation
Problem Instances.” In Proceedings of the 18th ACM/SIGEVO Conference on Foundations
of Genetic Algorithms, FOGA 2025, Leiden, The Netherlands, August 27-29, 2025,
262–272. ACM, 2025. https://doi.org/10.1145/3729878.3746615.
ieee: 'J. Rook, Q. Renau, H. Trautmann, and E. Hart, “Efficient Online Automated
Algorithm Selection in the Face of Data-Drift in Optimisation Problem Instances,”
in Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic
Algorithms, FOGA 2025, Leiden, The Netherlands, August 27-29, 2025, 2025,
pp. 262–272, doi: 10.1145/3729878.3746615.'
mla: Rook, Jeroen, et al. “Efficient Online Automated Algorithm Selection in the
Face of Data-Drift in Optimisation Problem Instances.” Proceedings of the 18th
ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA 2025, Leiden,
The Netherlands, August 27-29, 2025, ACM, 2025, pp. 262–272, doi:10.1145/3729878.3746615.
short: 'J. Rook, Q. Renau, H. Trautmann, E. Hart, in: Proceedings of the 18th ACM/SIGEVO
Conference on Foundations of Genetic Algorithms, FOGA 2025, Leiden, The Netherlands,
August 27-29, 2025, ACM, 2025, pp. 262–272.'
date_created: 2025-10-22T07:26:45Z
date_updated: 2026-02-25T14:31:18Z
department:
- _id: '819'
doi: 10.1145/3729878.3746615
language:
- iso: eng
page: 262–272
publication: Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic
Algorithms, FOGA 2025, Leiden, The Netherlands, August 27-29, 2025
publisher: ACM
status: public
title: Efficient Online Automated Algorithm Selection in the Face of Data-Drift in
Optimisation Problem Instances
type: conference
user_id: '15504'
year: '2025'
...
---
_id: '59073'
author:
- first_name: Jeroen G.
full_name: Rook, Jeroen G.
last_name: Rook
- first_name: Carolin
full_name: Benjamins, Carolin
last_name: Benjamins
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Holger H.
full_name: Hoos, Holger H.
last_name: Hoos
- first_name: Marius
full_name: Lindauer, Marius
last_name: Lindauer
citation:
ama: 'Rook JG, Benjamins C, Bossek J, Trautmann H, Hoos HH, Lindauer M. MO-SMAC:
Multi-objective Sequential Model-based Algorithm Configuration. Evolutionary
Computation. Published online 2025:1-25. doi:10.1162/evco_a_00371'
apa: 'Rook, J. G., Benjamins, C., Bossek, J., Trautmann, H., Hoos, H. H., &
Lindauer, M. (2025). MO-SMAC: Multi-objective Sequential Model-based Algorithm
Configuration. Evolutionary Computation, 1–25. https://doi.org/10.1162/evco_a_00371'
bibtex: '@article{Rook_Benjamins_Bossek_Trautmann_Hoos_Lindauer_2025, title={MO-SMAC:
Multi-objective Sequential Model-based Algorithm Configuration}, DOI={10.1162/evco_a_00371},
journal={Evolutionary Computation}, author={Rook, Jeroen G. and Benjamins, Carolin
and Bossek, Jakob and Trautmann, Heike and Hoos, Holger H. and Lindauer, Marius},
year={2025}, pages={1–25} }'
chicago: 'Rook, Jeroen G., Carolin Benjamins, Jakob Bossek, Heike Trautmann, Holger
H. Hoos, and Marius Lindauer. “MO-SMAC: Multi-Objective Sequential Model-Based
Algorithm Configuration.” Evolutionary Computation, 2025, 1–25. https://doi.org/10.1162/evco_a_00371.'
ieee: 'J. G. Rook, C. Benjamins, J. Bossek, H. Trautmann, H. H. Hoos, and M. Lindauer,
“MO-SMAC: Multi-objective Sequential Model-based Algorithm Configuration,” Evolutionary
Computation, pp. 1–25, 2025, doi: 10.1162/evco_a_00371.'
mla: 'Rook, Jeroen G., et al. “MO-SMAC: Multi-Objective Sequential Model-Based Algorithm
Configuration.” Evolutionary Computation, 2025, pp. 1–25, doi:10.1162/evco_a_00371.'
short: J.G. Rook, C. Benjamins, J. Bossek, H. Trautmann, H.H. Hoos, M. Lindauer,
Evolutionary Computation (2025) 1–25.
date_created: 2025-03-21T06:24:46Z
date_updated: 2025-03-21T06:25:31Z
doi: 10.1162/evco_a_00371
language:
- iso: eng
page: 1-25
publication: Evolutionary Computation
publication_identifier:
issn:
- 1063-6560
status: public
title: 'MO-SMAC: Multi-objective Sequential Model-based Algorithm Configuration'
type: journal_article
user_id: '15504'
year: '2025'
...
---
_id: '60219'
author:
- first_name: Diederick
full_name: Vermetten, Diederick
last_name: Vermetten
- first_name: Jeroen
full_name: Rook, Jeroen
id: '102977'
last_name: Rook
- first_name: Oliver Ludger
full_name: Preuß, Oliver Ludger
id: '102978'
last_name: Preuß
orcid: 0009-0008-9308-2418
- first_name: Jacob
full_name: de Nobel, Jacob
last_name: de Nobel
- first_name: Carola
full_name: Doerr, Carola
last_name: Doerr
- first_name: Manuel
full_name: López-Ibáñez, Manuel
last_name: López-Ibáñez
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Thomas
full_name: Bäck, Thomas
last_name: Bäck
citation:
ama: 'Vermetten D, Rook J, Preuß OL, et al. MO-IOHinspector: Anytime Benchmarking
of Multi-objective Algorithms Using IOHprofiler. In: Singh HK, Ray T, Knowles
JD, et al., eds. Evolutionary Multi-Criterion Optimization - 13th International
Conference, EMO 2025, Canberra, ACT, Australia, March 4-7, 2025, Proceedings,
Part I. Vol 15512. Lecture Notes in Computer Science. Springer; 2025:242–256.
doi:10.1007/978-981-96-3506-1_17'
apa: 'Vermetten, D., Rook, J., Preuß, O. L., de Nobel, J., Doerr, C., López-Ibáñez,
M., Trautmann, H., & Bäck, T. (2025). MO-IOHinspector: Anytime Benchmarking
of Multi-objective Algorithms Using IOHprofiler. In H. K. Singh, T. Ray, J. D.
Knowles, X. Li, J. Branke, B. Wang, & A. Oyama (Eds.), Evolutionary Multi-Criterion
Optimization - 13th International Conference, EMO 2025, Canberra, ACT, Australia,
March 4-7, 2025, Proceedings, Part I (Vol. 15512, pp. 242–256). Springer.
https://doi.org/10.1007/978-981-96-3506-1_17'
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={10.1007/978-981-96-3506-1_17},
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} }'
chicago: 'Vermetten, Diederick, Jeroen Rook, Oliver Ludger Preuß, Jacob de Nobel,
Carola Doerr, Manuel López-Ibáñez, Heike Trautmann, and Thomas Bäck. “MO-IOHinspector:
Anytime Benchmarking of Multi-Objective Algorithms Using IOHprofiler.” In Evolutionary
Multi-Criterion Optimization - 13th International Conference, EMO 2025, Canberra,
ACT, Australia, March 4-7, 2025, Proceedings, Part I, edited by Hemant K.
Singh, Tapabrata Ray, Joshua D. Knowles, Xiaodong Li, Juergen Branke, Bing Wang,
and Akira Oyama, 15512:242–256. Lecture Notes in Computer Science. Springer, 2025.
https://doi.org/10.1007/978-981-96-3506-1_17.'
ieee: 'D. Vermetten et al., “MO-IOHinspector: Anytime Benchmarking of Multi-objective
Algorithms Using IOHprofiler,” in Evolutionary Multi-Criterion Optimization
- 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4-7,
2025, Proceedings, Part I, 2025, vol. 15512, pp. 242–256, doi: 10.1007/978-981-96-3506-1_17.'
mla: 'Vermetten, Diederick, et al. “MO-IOHinspector: Anytime Benchmarking of Multi-Objective
Algorithms Using IOHprofiler.” Evolutionary Multi-Criterion Optimization -
13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4-7,
2025, Proceedings, Part I, edited by Hemant K. Singh et al., vol. 15512, Springer,
2025, pp. 242–256, doi:10.1007/978-981-96-3506-1_17.'
short: 'D. Vermetten, J. Rook, O.L. Preuß, J. de Nobel, C. Doerr, M. López-Ibáñez,
H. Trautmann, T. Bäck, in: H.K. Singh, T. Ray, J.D. Knowles, X. Li, J. Branke,
B. Wang, A. Oyama (Eds.), Evolutionary Multi-Criterion Optimization - 13th International
Conference, EMO 2025, Canberra, ACT, Australia, March 4-7, 2025, Proceedings,
Part I, Springer, 2025, pp. 242–256.'
date_created: 2025-06-16T12:01:12Z
date_updated: 2025-06-16T12:20:36Z
department:
- _id: '819'
doi: 10.1007/978-981-96-3506-1_17
editor:
- first_name: Hemant K.
full_name: Singh, Hemant K.
last_name: Singh
- first_name: Tapabrata
full_name: Ray, Tapabrata
last_name: Ray
- first_name: Joshua D.
full_name: Knowles, Joshua D.
last_name: Knowles
- first_name: Xiaodong
full_name: Li, Xiaodong
last_name: Li
- first_name: Juergen
full_name: Branke, Juergen
last_name: Branke
- first_name: Bing
full_name: Wang, Bing
last_name: Wang
- first_name: Akira
full_name: Oyama, Akira
last_name: Oyama
intvolume: ' 15512'
language:
- iso: eng
page: 242–256
publication: Evolutionary Multi-Criterion Optimization - 13th International Conference,
EMO 2025, Canberra, ACT, Australia, March 4-7, 2025, Proceedings, Part I
publisher: Springer
series_title: Lecture Notes in Computer Science
status: public
title: 'MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using
IOHprofiler'
type: conference
user_id: '15504'
volume: 15512
year: '2025'
...
---
_id: '60220'
author:
- first_name: Moritz
full_name: Seiler, Moritz
id: '105520'
last_name: Seiler
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Seiler M, Kerschke P, Trautmann H. Deep-ELA: Deep Exploratory Landscape Analysis
with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous
Optimization Problems . Evolutionary Computation. Published online 2025:1-27.
doi:https://doi.org/10.1162/evco_a_00367'
apa: 'Seiler, M., Kerschke, P., & Trautmann, H. (2025). Deep-ELA: Deep Exploratory
Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and
Multi-Objective Continuous Optimization Problems . Evolutionary Computation,
1–27. https://doi.org/10.1162/evco_a_00367'
bibtex: '@article{Seiler_Kerschke_Trautmann_2025, title={Deep-ELA: Deep Exploratory
Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and
Multi-Objective Continuous Optimization Problems }, DOI={https://doi.org/10.1162/evco_a_00367},
journal={Evolutionary Computation}, author={Seiler, Moritz and Kerschke, Pascal
and Trautmann, Heike}, year={2025}, pages={1–27} }'
chicago: 'Seiler, Moritz, Pascal Kerschke, and Heike Trautmann. “Deep-ELA: Deep
Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for
Single- and Multi-Objective Continuous Optimization Problems .” Evolutionary
Computation, 2025, 1–27. https://doi.org/10.1162/evco_a_00367.'
ieee: 'M. Seiler, P. Kerschke, and H. Trautmann, “Deep-ELA: Deep Exploratory Landscape
Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective
Continuous Optimization Problems ,” Evolutionary Computation, pp. 1–27,
2025, doi: https://doi.org/10.1162/evco_a_00367.'
mla: 'Seiler, Moritz, et al. “Deep-ELA: Deep Exploratory Landscape Analysis with
Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous
Optimization Problems .” Evolutionary Computation, 2025, pp. 1–27, doi:https://doi.org/10.1162/evco_a_00367.'
short: M. Seiler, P. Kerschke, H. Trautmann, Evolutionary Computation (2025) 1–27.
date_created: 2025-06-16T12:20:20Z
date_updated: 2025-06-16T12:24:15Z
department:
- _id: '819'
doi: https://doi.org/10.1162/evco_a_00367
language:
- iso: eng
page: 1-27
publication: Evolutionary Computation
status: public
title: 'Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained
Transformers for Single- and Multi-Objective Continuous Optimization Problems '
type: journal_article
user_id: '15504'
year: '2025'
...
---
_id: '60813'
author:
- first_name: Moritz
full_name: Seiler, Moritz
id: '105520'
last_name: Seiler
- first_name: Oliver Ludger
full_name: Preuß, Oliver Ludger
id: '102978'
last_name: Preuß
orcid: 0009-0008-9308-2418
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Seiler M, Preuß OL, Trautmann H. RandOptGen: A Unified Random Problem Generator
for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input
Spaces. In: Filipic B, ed. Proceedings of the Genetic and Evolutionary Computation
Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025.
ACM; 2025:76–84. doi:10.1145/3712256.3726478'
apa: 'Seiler, M., Preuß, O. L., & 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.), Proceedings of the Genetic
and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga,
Spain, July 14-18, 2025 (pp. 76–84). ACM. https://doi.org/10.1145/3712256.3726478'
bibtex: '@inproceedings{Seiler_Preuß_Trautmann_2025, title={RandOptGen: A Unified
Random Problem Generator for Single- and Multi-Objective Optimization Problems
with Mixed-Variable Input Spaces}, DOI={10.1145/3712256.3726478},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference,
GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025}, publisher={ACM},
author={Seiler, Moritz and Preuß, Oliver Ludger and Trautmann, Heike}, editor={Filipic,
Bogdan}, year={2025}, pages={76–84} }'
chicago: 'Seiler, Moritz, Oliver Ludger Preuß, and Heike Trautmann. “RandOptGen:
A Unified Random Problem Generator for Single- and Multi-Objective Optimization
Problems with Mixed-Variable Input Spaces.” In Proceedings of the Genetic and
Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain,
July 14-18, 2025, edited by Bogdan Filipic, 76–84. ACM, 2025. https://doi.org/10.1145/3712256.3726478.'
ieee: 'M. 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 Proceedings of the Genetic and Evolutionary Computation Conference,
GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025, 2025, pp. 76–84,
doi: 10.1145/3712256.3726478.'
mla: 'Seiler, Moritz, et al. “RandOptGen: A Unified Random Problem Generator for
Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces.”
Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025,
NH Malaga Hotel, Malaga, Spain, July 14-18, 2025, edited by Bogdan Filipic,
ACM, 2025, pp. 76–84, doi:10.1145/3712256.3726478.'
short: 'M. Seiler, O.L. Preuß, 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. 76–84.'
date_created: 2025-07-29T06:12:57Z
date_updated: 2025-07-29T06:13:43Z
department:
- _id: '819'
doi: 10.1145/3712256.3726478
editor:
- first_name: Bogdan
full_name: Filipic, Bogdan
last_name: Filipic
language:
- iso: eng
page: 76–84
publication: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO
2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025
publisher: ACM
status: public
title: 'RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective
Optimization Problems with Mixed-Variable Input Spaces'
type: conference
user_id: '15504'
year: '2025'
...
---
_id: '60812'
author:
- first_name: Oliver Ludger
full_name: Preuß, Oliver Ludger
id: '102978'
last_name: Preuß
orcid: 0009-0008-9308-2418
- first_name: Carolin
full_name: Mensendiek, Carolin
id: '75006'
last_name: Mensendiek
- first_name: Jeroen
full_name: Rook, Jeroen
id: '102977'
last_name: Rook
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
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. Proceedings of the Genetic and Evolutionary Computation Conference,
GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025. ACM; 2025:58–66.
doi:10.1145/3712256.3726481'
apa: Preuß, O. L., Mensendiek, C., Rook, J., Bossek, J., & Trautmann, H. (2025).
Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous
MNK-Landscapes. In B. Filipic (Ed.), Proceedings of the Genetic and Evolutionary
Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18,
2025 (pp. 58–66). ACM. https://doi.org/10.1145/3712256.3726481
bibtex: '@inproceedings{Preuß_Mensendiek_Rook_Bossek_Trautmann_2025, title={Automated
Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes},
DOI={10.1145/3712256.3726481},
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}
}'
chicago: Preuß, Oliver Ludger, Carolin Mensendiek, Jeroen Rook, Jakob Bossek, and
Heike Trautmann. “Automated Algorithm Configuration and Systematic Benchmarking
for Heterogeneous MNK-Landscapes.” In Proceedings of the Genetic and Evolutionary
Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18,
2025, edited by Bogdan Filipic, 58–66. ACM, 2025. https://doi.org/10.1145/3712256.3726481.
ieee: 'O. L. Preuß, C. Mensendiek, J. Rook, J. Bossek, and H. Trautmann, “Automated
Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes,”
in Proceedings of the Genetic and Evolutionary Computation Conference, GECCO
2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025, 2025, pp. 58–66, doi:
10.1145/3712256.3726481.'
mla: Preuß, Oliver Ludger, et al. “Automated Algorithm Configuration and Systematic
Benchmarking for Heterogeneous MNK-Landscapes.” Proceedings of the Genetic
and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga,
Spain, July 14-18, 2025, edited by Bogdan Filipic, ACM, 2025, pp. 58–66, doi:10.1145/3712256.3726481.
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.'
date_created: 2025-07-29T06:11:51Z
date_updated: 2025-07-29T06:12:28Z
department:
- _id: '819'
doi: 10.1145/3712256.3726481
editor:
- first_name: Bogdan
full_name: Filipic, Bogdan
last_name: Filipic
language:
- iso: eng
page: 58–66
publication: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO
2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025
publisher: ACM
status: public
title: Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous
MNK-Landscapes
type: conference
user_id: '15504'
year: '2025'
...
---
_id: '60814'
author:
- first_name: Elias
full_name: Schede, Elias
last_name: Schede
- first_name: Moritz
full_name: Seiler, Moritz
id: '105520'
last_name: Seiler
- first_name: Kevin
full_name: Tierney, Kevin
last_name: Tierney
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Schede E, Seiler M, Tierney K, Trautmann H. Deep reinforcement learning for
instance-specific algorithm configuration (GECCO Best Paper Award). In: Filipic
B, ed. Proceedings of the Genetic and Evolutionary Computation Conference,
GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025. ACM; 2025:1190–1198.
doi:10.1145/3712256.3726480'
apa: Schede, E., Seiler, M., Tierney, K., & Trautmann, H. (2025). Deep reinforcement
learning for instance-specific algorithm configuration (GECCO Best Paper Award).
In B. Filipic (Ed.), Proceedings of the Genetic and Evolutionary Computation
Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025 (pp.
1190–1198). ACM. https://doi.org/10.1145/3712256.3726480
bibtex: '@inproceedings{Schede_Seiler_Tierney_Trautmann_2025, title={Deep reinforcement
learning for instance-specific algorithm configuration (GECCO Best Paper Award)},
DOI={10.1145/3712256.3726480},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference,
GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025}, publisher={ACM},
author={Schede, Elias and Seiler, Moritz and Tierney, Kevin and Trautmann, Heike},
editor={Filipic, Bogdan}, year={2025}, pages={1190–1198} }'
chicago: Schede, Elias, Moritz Seiler, Kevin Tierney, and Heike Trautmann. “Deep
Reinforcement Learning for Instance-Specific Algorithm Configuration (GECCO Best
Paper Award).” In Proceedings of the Genetic and Evolutionary Computation Conference,
GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025, edited by Bogdan
Filipic, 1190–1198. ACM, 2025. https://doi.org/10.1145/3712256.3726480.
ieee: 'E. Schede, M. Seiler, K. Tierney, and H. Trautmann, “Deep reinforcement learning
for instance-specific algorithm configuration (GECCO Best Paper Award),” in Proceedings
of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga
Hotel, Malaga, Spain, July 14-18, 2025, 2025, pp. 1190–1198, doi: 10.1145/3712256.3726480.'
mla: Schede, Elias, et al. “Deep Reinforcement Learning for Instance-Specific Algorithm
Configuration (GECCO Best Paper Award).” Proceedings of the Genetic and Evolutionary
Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18,
2025, edited by Bogdan Filipic, ACM, 2025, pp. 1190–1198, doi:10.1145/3712256.3726480.
short: 'E. Schede, M. Seiler, K. Tierney, 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. 1190–1198.'
date_created: 2025-07-29T06:14:03Z
date_updated: 2025-07-29T12:17:30Z
department:
- _id: '819'
doi: 10.1145/3712256.3726480
editor:
- first_name: Bogdan
full_name: Filipic, Bogdan
last_name: Filipic
language:
- iso: eng
page: 1190–1198
publication: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO
2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025
publisher: ACM
status: public
title: Deep reinforcement learning for instance-specific algorithm configuration (GECCO
Best Paper Award)
type: conference
user_id: '100740'
year: '2025'
...
---
_id: '61032'
author:
- first_name: Angel E.
full_name: Rodriguez-Fernandez, Angel E.
last_name: Rodriguez-Fernandez
- first_name: Lennart
full_name: Schäpermeier, Lennart
last_name: Schäpermeier
- first_name: Carlos Hernandez
full_name: Castellanos, Carlos Hernandez
last_name: Castellanos
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Oliver
full_name: Schütze, Oliver
last_name: Schütze
citation:
ama: 'Rodriguez-Fernandez AE, Schäpermeier L, Castellanos CH, Kerschke P, Trautmann
H, Schütze O. Hot off the Press: Finding ϵ-Locally Optimal Solutions for Multi-Objective
Multimodal Optimization. In: Proceedings of the Genetic and Evolutionary Computation
Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025.
ACM; 2025:61-62. doi:/10.1145/3712255.3734260'
apa: 'Rodriguez-Fernandez, A. E., Schäpermeier, L., Castellanos, C. H., Kerschke,
P., Trautmann, H., & Schütze, O. (2025). Hot off the Press: Finding ϵ-Locally
Optimal Solutions for Multi-Objective Multimodal Optimization. Proceedings
of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga
Hotel, Malaga, Spain, July 14-18, 2025, 61–62. https://doi.org//10.1145/3712255.3734260'
bibtex: '@inproceedings{Rodriguez-Fernandez_Schäpermeier_Castellanos_Kerschke_Trautmann_Schütze_2025,
title={Hot off the Press: Finding ϵ-Locally Optimal Solutions for Multi-Objective
Multimodal Optimization}, DOI={/10.1145/3712255.3734260},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference,
GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025}, publisher={ACM},
author={Rodriguez-Fernandez, Angel E. and Schäpermeier, Lennart and Castellanos,
Carlos Hernandez and Kerschke, Pascal and Trautmann, Heike and Schütze, Oliver},
year={2025}, pages={61–62} }'
chicago: 'Rodriguez-Fernandez, Angel E., Lennart Schäpermeier, Carlos Hernandez
Castellanos, Pascal Kerschke, Heike Trautmann, and Oliver Schütze. “Hot off the
Press: Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization.”
In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO
2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025, 61–62. ACM, 2025.
https://doi.org//10.1145/3712255.3734260.'
ieee: 'A. E. Rodriguez-Fernandez, L. Schäpermeier, C. H. Castellanos, P. Kerschke,
H. Trautmann, and O. Schütze, “Hot off the Press: Finding ϵ-Locally Optimal Solutions
for Multi-Objective Multimodal Optimization,” in Proceedings of the Genetic
and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga,
Spain, July 14-18, 2025, 2025, pp. 61–62, doi: /10.1145/3712255.3734260.'
mla: 'Rodriguez-Fernandez, Angel E., et al. “Hot off the Press: Finding ϵ-Locally
Optimal Solutions for Multi-Objective Multimodal Optimization.” Proceedings
of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga
Hotel, Malaga, Spain, July 14-18, 2025, ACM, 2025, pp. 61–62, doi:/10.1145/3712255.3734260.'
short: 'A.E. Rodriguez-Fernandez, L. Schäpermeier, C.H. Castellanos, P. Kerschke,
H. Trautmann, O. Schütze, in: Proceedings of the Genetic and Evolutionary Computation
Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025, ACM,
2025, pp. 61–62.'
date_created: 2025-08-27T08:29:25Z
date_updated: 2025-08-27T08:32:55Z
doi: /10.1145/3712255.3734260
language:
- iso: eng
page: 61-62
publication: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO
2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025
publisher: ACM
status: public
title: 'Hot off the Press: Finding ϵ-Locally Optimal Solutions for Multi-Objective
Multimodal Optimization'
type: conference
user_id: '15504'
year: '2025'
...
---
_id: '63053'
author:
- first_name: Carlos
full_name: Hernández, Carlos
last_name: Hernández
- first_name: Angel E.
full_name: Rodriguez-Fernandez, Angel E.
last_name: Rodriguez-Fernandez
- first_name: Lennart
full_name: Schäpermeier, Lennart
last_name: Schäpermeier
- first_name: Oliver
full_name: Cuate, Oliver
last_name: Cuate
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Oliver
full_name: Schütze, Oliver
last_name: Schütze
citation:
ama: Hernández C, Rodriguez-Fernandez AE, Schäpermeier L, Cuate O, Trautmann H,
Schütze O. An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions
for Multi-Objective Multimodal Optimization. IEEE Transactions on Evolutionary
Computation. Published online 2025:1-1. doi:10.1109/TEVC.2025.3637276
apa: Hernández, C., Rodriguez-Fernandez, A. E., Schäpermeier, L., Cuate, O., Trautmann,
H., & Schütze, O. (2025). An Evolutionary Approach for the Computation of
∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. IEEE
Transactions on Evolutionary Computation, 1–1. https://doi.org/10.1109/TEVC.2025.3637276
bibtex: '@article{Hernández_Rodriguez-Fernandez_Schäpermeier_Cuate_Trautmann_Schütze_2025,
title={An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions
for Multi-Objective Multimodal Optimization}, DOI={10.1109/TEVC.2025.3637276},
journal={IEEE Transactions on Evolutionary Computation}, author={Hernández, Carlos
and Rodriguez-Fernandez, Angel E. and Schäpermeier, Lennart and Cuate, Oliver
and Trautmann, Heike and Schütze, Oliver}, year={2025}, pages={1–1} }'
chicago: Hernández, Carlos, Angel E. Rodriguez-Fernandez, Lennart Schäpermeier,
Oliver Cuate, Heike Trautmann, and Oliver Schütze. “An Evolutionary Approach for
the Computation of ∈-Locally Optimal Solutions for Multi-Objective Multimodal
Optimization.” IEEE Transactions on Evolutionary Computation, 2025, 1–1.
https://doi.org/10.1109/TEVC.2025.3637276.
ieee: 'C. Hernández, A. E. Rodriguez-Fernandez, L. Schäpermeier, O. Cuate, H. Trautmann,
and O. Schütze, “An Evolutionary Approach for the Computation of ∈-Locally Optimal
Solutions for Multi-Objective Multimodal Optimization,” IEEE Transactions on
Evolutionary Computation, pp. 1–1, 2025, doi: 10.1109/TEVC.2025.3637276.'
mla: Hernández, Carlos, et al. “An Evolutionary Approach for the Computation of
∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization.” IEEE
Transactions on Evolutionary Computation, 2025, pp. 1–1, doi:10.1109/TEVC.2025.3637276.
short: C. Hernández, A.E. Rodriguez-Fernandez, L. Schäpermeier, O. Cuate, H. Trautmann,
O. Schütze, IEEE Transactions on Evolutionary Computation (2025) 1–1.
date_created: 2025-12-12T06:13:06Z
date_updated: 2025-12-12T06:13:51Z
department:
- _id: '819'
doi: 10.1109/TEVC.2025.3637276
keyword:
- Optimization
- Evolutionary computation
- Hands
- Proposals
- Convergence
- Computational efficiency
- Artificial intelligence
- Accuracy
- Approximation algorithms
- Aerospace electronics
- Multi-objective optimization
- evolutionary algorithms
- nearly optimal solutions
- multimodal optimization
- archiving
- continuation
language:
- iso: eng
page: 1-1
publication: IEEE Transactions on Evolutionary Computation
status: public
title: An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions
for Multi-Objective Multimodal Optimization
type: journal_article
user_id: '15504'
year: '2025'
...
---
_id: '54548'
author:
- first_name: Raphael Patrick
full_name: Prager, Raphael Patrick
last_name: Prager
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: Prager RP, Trautmann H. Exploratory Landscape Analysis for Mixed-Variable Problems.
IEEE Transactions on Evolutionary Computation. Published online 2024:1-1.
doi:10.1109/TEVC.2024.3399560
apa: Prager, R. P., & Trautmann, H. (2024). Exploratory Landscape Analysis for
Mixed-Variable Problems. IEEE Transactions on Evolutionary Computation,
1–1. https://doi.org/10.1109/TEVC.2024.3399560
bibtex: '@article{Prager_Trautmann_2024, title={Exploratory Landscape Analysis for
Mixed-Variable Problems}, DOI={10.1109/TEVC.2024.3399560},
journal={IEEE Transactions on Evolutionary Computation}, author={Prager, Raphael
Patrick and Trautmann, Heike}, year={2024}, pages={1–1} }'
chicago: Prager, Raphael Patrick, and Heike Trautmann. “Exploratory Landscape Analysis
for Mixed-Variable Problems.” IEEE Transactions on Evolutionary Computation,
2024, 1–1. https://doi.org/10.1109/TEVC.2024.3399560.
ieee: 'R. P. Prager and H. Trautmann, “Exploratory Landscape Analysis for Mixed-Variable
Problems,” IEEE Transactions on Evolutionary Computation, pp. 1–1, 2024,
doi: 10.1109/TEVC.2024.3399560.'
mla: Prager, Raphael Patrick, and Heike Trautmann. “Exploratory Landscape Analysis
for Mixed-Variable Problems.” IEEE Transactions on Evolutionary Computation,
2024, pp. 1–1, doi:10.1109/TEVC.2024.3399560.
short: R.P. Prager, H. Trautmann, IEEE Transactions on Evolutionary Computation
(2024) 1–1.
date_created: 2024-06-03T06:16:33Z
date_updated: 2024-06-03T06:17:13Z
department:
- _id: '819'
doi: 10.1109/TEVC.2024.3399560
keyword:
- Optimization
- Evolutionary computation
- Benchmark testing
- Hyperparameter optimization
- Portfolios
- Extraterrestrial measurements
- Dispersion
- Exploratory landscape analysis
- mixed-variable problem
- mixed search spaces
- automated algorithm selection
language:
- iso: eng
page: 1-1
publication: IEEE Transactions on Evolutionary Computation
status: public
title: Exploratory Landscape Analysis for Mixed-Variable Problems
type: journal_article
user_id: '15504'
year: '2024'
...
---
_id: '54642'
author:
- first_name: K.
full_name: Dietrich, K.
last_name: Dietrich
- first_name: R.
full_name: Prager, R.
last_name: Prager
- first_name: C.
full_name: Doerr, C.
last_name: Doerr
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Dietrich K, Prager R, Doerr C, Trautmann H. Hybridizing Target- and SHAP-encoded
Features for Algorithm Selection in Mixed-variable Black-box Optimization. In:
Affenzeller M, Winkler S, Kononova A, et al., eds. Parallel Problem Solving
from Nature — PPSN XVIII. Springer International Publishing; 2024:1-14.'
apa: Dietrich, K., Prager, R., Doerr, C., & Trautmann, H. (2024). Hybridizing
Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box
Optimization. In M. Affenzeller, S. Winkler, A. Kononova, H. Trautmann, T. Tušar,
P. Machado, & T. Baeck (Eds.), Parallel Problem Solving from Nature — PPSN
XVIII (pp. 1–14). Springer International Publishing.
bibtex: '@inproceedings{Dietrich_Prager_Doerr_Trautmann_2024, place={Cham}, title={Hybridizing
Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box
Optimization}, booktitle={Parallel Problem Solving from Nature — PPSN XVIII},
publisher={Springer International Publishing}, author={Dietrich, K. and Prager,
R. and Doerr, C. and Trautmann, Heike}, editor={Affenzeller, M and Winkler, S
and Kononova, A and Trautmann, H and Tušar, T and Machado, P and Baeck, T}, year={2024},
pages={1–14} }'
chicago: 'Dietrich, K., R. Prager, C. Doerr, and Heike Trautmann. “Hybridizing Target-
and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box
Optimization.” In Parallel Problem Solving from Nature — PPSN XVIII, edited
by M Affenzeller, S Winkler, A Kononova, H Trautmann, T Tušar, P Machado, and
T Baeck, 1–14. Cham: Springer International Publishing, 2024.'
ieee: K. Dietrich, R. Prager, C. Doerr, and H. Trautmann, “Hybridizing Target- and
SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization,”
in Parallel Problem Solving from Nature — PPSN XVIII, 2024, pp. 1–14.
mla: Dietrich, K., et al. “Hybridizing Target- and SHAP-Encoded Features for Algorithm
Selection in Mixed-Variable Black-Box Optimization.” Parallel Problem Solving
from Nature — PPSN XVIII, edited by M Affenzeller et al., Springer International
Publishing, 2024, pp. 1–14.
short: 'K. Dietrich, R. Prager, C. Doerr, H. Trautmann, in: M. Affenzeller, S. Winkler,
A. Kononova, H. Trautmann, T. Tušar, P. Machado, T. Baeck (Eds.), Parallel Problem
Solving from Nature — PPSN XVIII, Springer International Publishing, Cham, 2024,
pp. 1–14.'
date_created: 2024-06-07T04:56:32Z
date_updated: 2024-06-07T05:02:25Z
department:
- _id: '819'
editor:
- first_name: M
full_name: Affenzeller, M
last_name: Affenzeller
- first_name: S
full_name: Winkler, S
last_name: Winkler
- first_name: A
full_name: Kononova, A
last_name: Kononova
- first_name: H
full_name: Trautmann, H
last_name: Trautmann
- first_name: T
full_name: Tušar, T
last_name: Tušar
- first_name: P
full_name: Machado, P
last_name: Machado
- first_name: T
full_name: Baeck, T
last_name: Baeck
language:
- iso: eng
page: 1-14
place: Cham
publication: Parallel Problem Solving from Nature — PPSN XVIII
publisher: Springer International Publishing
status: public
title: Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable
Black-box Optimization
type: conference
user_id: '15504'
year: '2024'
...
---
_id: '52759'
author:
- first_name: Oliver Ludger
full_name: Preuß, Oliver Ludger
id: '102978'
last_name: Preuß
orcid: 0009-0008-9308-2418
- first_name: Jeroen
full_name: Rook, Jeroen
last_name: Rook
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Preuß OL, Rook J, Trautmann H. On the Potential of Multi-objective Automated
Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems.
In: Applications of Evolutionary Computation. Springer Nature Switzerland;
2024. doi:10.1007/978-3-031-56852-7_20'
apa: Preuß, O. L., Rook, J., & Trautmann, H. (2024). On the Potential of Multi-objective
Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation
Problems. In Applications of Evolutionary Computation. Springer Nature
Switzerland. https://doi.org/10.1007/978-3-031-56852-7_20
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={10.1007/978-3-031-56852-7_20},
booktitle={Applications of Evolutionary Computation}, publisher={Springer Nature
Switzerland}, author={Preuß, Oliver Ludger and Rook, Jeroen and Trautmann, Heike},
year={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 Applications of Evolutionary Computation. Cham:
Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-56852-7_20.'
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 Applications of Evolutionary Computation, Cham: Springer
Nature Switzerland, 2024.'
mla: Preuß, Oliver Ludger, et al. “On the Potential of Multi-Objective Automated
Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems.”
Applications of Evolutionary Computation, Springer Nature Switzerland,
2024, doi:10.1007/978-3-031-56852-7_20.
short: 'O.L. Preuß, J. Rook, H. Trautmann, in: Applications of Evolutionary Computation,
Springer Nature Switzerland, Cham, 2024.'
date_created: 2024-03-25T08:22:57Z
date_updated: 2024-06-10T11:55:38Z
department:
- _id: '819'
doi: 10.1007/978-3-031-56852-7_20
language:
- iso: eng
place: Cham
publication: Applications of Evolutionary Computation
publication_identifier:
isbn:
- '9783031568510'
- '9783031568527'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal
Multi-objective Optimisation Problems
type: book_chapter
user_id: '15504'
year: '2024'
...
---
_id: '52749'
author:
- first_name: Moritz
full_name: Seiler, Moritz
id: '105520'
last_name: Seiler
- first_name: Jeroen
full_name: Rook, Jeroen
last_name: Rook
- first_name: Jonathan
full_name: Heins, Jonathan
last_name: Heins
- first_name: Oliver Ludger
full_name: Preuß, Oliver Ludger
id: '102978'
last_name: Preuß
orcid: 0009-0008-9308-2418
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
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: 2023 IEEE
Symposium Series on Computational Intelligence (SSCI). IEEE; 2024. doi:10.1109/ssci52147.2023.10372008'
apa: Seiler, M., Rook, J., Heins, J., Preuß, O. L., Bossek, J., & Trautmann,
H. (2024). Using Reinforcement Learning for Per-Instance Algorithm Configuration
on the TSP. 2023 IEEE Symposium Series on Computational Intelligence (SSCI).
https://doi.org/10.1109/ssci52147.2023.10372008
bibtex: '@inproceedings{Seiler_Rook_Heins_Preuß_Bossek_Trautmann_2024, title={Using
Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP}, DOI={10.1109/ssci52147.2023.10372008},
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} }'
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 2023 IEEE Symposium Series on Computational Intelligence
(SSCI). IEEE, 2024. https://doi.org/10.1109/ssci52147.2023.10372008.
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: 10.1109/ssci52147.2023.10372008.'
mla: Seiler, Moritz, et al. “Using Reinforcement Learning for Per-Instance Algorithm
Configuration on the TSP.” 2023 IEEE Symposium Series on Computational Intelligence
(SSCI), IEEE, 2024, doi:10.1109/ssci52147.2023.10372008.
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.'
date_created: 2024-03-25T08:15:01Z
date_updated: 2024-06-10T11:59:44Z
department:
- _id: '819'
doi: 10.1109/ssci52147.2023.10372008
language:
- iso: eng
publication: 2023 IEEE Symposium Series on Computational Intelligence (SSCI)
publication_status: published
publisher: IEEE
status: public
title: Using Reinforcement Learning for Per-Instance Algorithm Configuration on the
TSP
type: conference
user_id: '15504'
year: '2024'
...
---
_id: '55649'
author:
- first_name: Jeroen
full_name: Rook, Jeroen
last_name: Rook
- first_name: Holger H.
full_name: Hoos, Holger H.
last_name: Hoos
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Rook J, Hoos HH, Trautmann H. Multi-objective Ranking using Bootstrap Resampling.
In: Li X, Handl J, eds. Proceedings of the Genetic and Evolutionary Computation
Conference Companion, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024.
ACM; 2024:155–158. doi:10.1145/3638530.3654436'
apa: Rook, J., Hoos, H. H., & Trautmann, H. (2024). Multi-objective Ranking
using Bootstrap Resampling. In X. Li & J. Handl (Eds.), Proceedings of
the Genetic and Evolutionary Computation Conference Companion, GECCO 2024, Melbourne,
VIC, Australia, July 14-18, 2024 (pp. 155–158). ACM. https://doi.org/10.1145/3638530.3654436
bibtex: '@inproceedings{Rook_Hoos_Trautmann_2024, title={Multi-objective Ranking
using Bootstrap Resampling}, DOI={10.1145/3638530.3654436},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference
Companion, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024}, publisher={ACM},
author={Rook, Jeroen and Hoos, Holger H. and Trautmann, Heike}, editor={Li, Xiaodong
and Handl, Julia}, year={2024}, pages={155–158} }'
chicago: Rook, Jeroen, Holger H. Hoos, and Heike Trautmann. “Multi-Objective Ranking
Using Bootstrap Resampling.” In Proceedings of the Genetic and Evolutionary
Computation Conference Companion, GECCO 2024, Melbourne, VIC, Australia, July
14-18, 2024, edited by Xiaodong Li and Julia Handl, 155–158. ACM, 2024. https://doi.org/10.1145/3638530.3654436.
ieee: 'J. Rook, H. H. Hoos, and H. Trautmann, “Multi-objective Ranking using Bootstrap
Resampling,” in Proceedings of the Genetic and Evolutionary Computation Conference
Companion, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024, 2024,
pp. 155–158, doi: 10.1145/3638530.3654436.'
mla: Rook, Jeroen, et al. “Multi-Objective Ranking Using Bootstrap Resampling.”
Proceedings of the Genetic and Evolutionary Computation Conference Companion,
GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024, edited by Xiaodong
Li and Julia Handl, ACM, 2024, pp. 155–158, doi:10.1145/3638530.3654436.
short: 'J. Rook, H.H. Hoos, H. Trautmann, in: X. Li, J. Handl (Eds.), Proceedings
of the Genetic and Evolutionary Computation Conference Companion, GECCO 2024,
Melbourne, VIC, Australia, July 14-18, 2024, ACM, 2024, pp. 155–158.'
date_created: 2024-08-19T09:34:07Z
date_updated: 2024-08-19T09:34:45Z
doi: 10.1145/3638530.3654436
editor:
- first_name: Xiaodong
full_name: Li, Xiaodong
last_name: Li
- first_name: Julia
full_name: Handl, Julia
last_name: Handl
language:
- iso: eng
page: 155–158
publication: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024
publisher: ACM
status: public
title: Multi-objective Ranking using Bootstrap Resampling
type: conference
user_id: '15504'
year: '2024'
...
---
_id: '56221'
author:
- first_name: Angel E.
full_name: Rodriguez-Fernandez, Angel E.
last_name: Rodriguez-Fernandez
- first_name: Lennart
full_name: Schäpermeier, Lennart
last_name: Schäpermeier
- first_name: Carlos
full_name: Hernández, Carlos
last_name: Hernández
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Oliver
full_name: Schütze, Oliver
last_name: Schütze
citation:
ama: Rodriguez-Fernandez AE, Schäpermeier L, Hernández C, Kerschke P, Trautmann
H, Schütze O. Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal
Optimization. IEEE Transactions on Evolutionary Computation. Published
online 2024:1-1. doi:10.1109/TEVC.2024.3458855
apa: Rodriguez-Fernandez, A. E., Schäpermeier, L., Hernández, C., Kerschke, P.,
Trautmann, H., & Schütze, O. (2024). Finding ϵ-Locally Optimal Solutions for
Multi-Objective Multimodal Optimization. IEEE Transactions on Evolutionary
Computation, 1–1. https://doi.org/10.1109/TEVC.2024.3458855
bibtex: '@article{Rodriguez-Fernandez_Schäpermeier_Hernández_Kerschke_Trautmann_Schütze_2024,
title={Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization},
DOI={10.1109/TEVC.2024.3458855},
journal={IEEE Transactions on Evolutionary Computation}, author={Rodriguez-Fernandez,
Angel E. and Schäpermeier, Lennart and Hernández, Carlos and Kerschke, Pascal
and Trautmann, Heike and Schütze, Oliver}, year={2024}, pages={1–1} }'
chicago: Rodriguez-Fernandez, Angel E., Lennart Schäpermeier, Carlos Hernández,
Pascal Kerschke, Heike Trautmann, and Oliver Schütze. “Finding ϵ-Locally Optimal
Solutions for Multi-Objective Multimodal Optimization.” IEEE Transactions on
Evolutionary Computation, 2024, 1–1. https://doi.org/10.1109/TEVC.2024.3458855.
ieee: 'A. E. Rodriguez-Fernandez, L. Schäpermeier, C. Hernández, P. Kerschke, H.
Trautmann, and O. Schütze, “Finding ϵ-Locally Optimal Solutions for Multi-Objective
Multimodal Optimization,” IEEE Transactions on Evolutionary Computation,
pp. 1–1, 2024, doi: 10.1109/TEVC.2024.3458855.'
mla: Rodriguez-Fernandez, Angel E., et al. “Finding ϵ-Locally Optimal Solutions
for Multi-Objective Multimodal Optimization.” IEEE Transactions on Evolutionary
Computation, 2024, pp. 1–1, doi:10.1109/TEVC.2024.3458855.
short: A.E. Rodriguez-Fernandez, L. Schäpermeier, C. Hernández, P. Kerschke, H.
Trautmann, O. Schütze, IEEE Transactions on Evolutionary Computation (2024) 1–1.
date_created: 2024-09-24T08:01:14Z
date_updated: 2024-09-24T08:01:47Z
doi: 10.1109/TEVC.2024.3458855
keyword:
- Optimization
- Evolutionary computation
- Approximation algorithms
- Benchmark testing
- Vectors
- Surveys
- Pareto optimization
- multi-objective optimization
- evolutionary computation
- multimodal optimization
- local solutions
language:
- iso: eng
page: 1-1
publication: IEEE Transactions on Evolutionary Computation
status: public
title: Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization
type: journal_article
user_id: '15504'
year: '2024'
...
---
_id: '58335'
author:
- first_name: Moritz
full_name: Seiler, Moritz
id: '105520'
last_name: Seiler
- first_name: Urban
full_name: Skvorc, Urban
id: '103764'
last_name: Skvorc
- first_name: Carola
full_name: Doerr, Carola
last_name: Doerr
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Seiler M, Skvorc U, Doerr C, Trautmann H. Synergies of Deep and Classical
Exploratory Landscape Features for Automated Algorithm Selection. In: Festa P,
Ferone D, Pastore T, Pisacane O, eds. Learning and Intelligent Optimization
- 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024,
Revised Selected Papers. Vol 14990. Lecture Notes in Computer Science. Springer;
2024:361–376. doi:10.1007/978-3-031-75623-8_29'
apa: 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
bibtex: '@inproceedings{Seiler_Skvorc_Doerr_Trautmann_2024, series={Lecture Notes
in Computer Science}, title={Synergies of Deep and Classical Exploratory Landscape
Features for Automated Algorithm Selection}, volume={14990}, DOI={10.1007/978-3-031-75623-8_29},
booktitle={Learning and Intelligent Optimization - 18th International Conference,
LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers}, publisher={Springer},
author={Seiler, Moritz and Skvorc, Urban and Doerr, Carola and Trautmann, Heike},
editor={Festa, Paola and Ferone, Daniele and Pastore, Tommaso and Pisacane, Ornella},
year={2024}, pages={361–376}, collection={Lecture Notes in Computer Science} }'
chicago: 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.
ieee: 'M. Seiler, U. Skvorc, C. Doerr, and H. 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, 2024,
vol. 14990, pp. 361–376, doi: 10.1007/978-3-031-75623-8_29.'
mla: Seiler, Moritz, et al. “Synergies of Deep and Classical Exploratory Landscape
Features for Automated Algorithm Selection.” Learning and Intelligent Optimization
- 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024,
Revised Selected Papers, edited by Paola Festa et al., vol. 14990, Springer,
2024, pp. 361–376, doi:10.1007/978-3-031-75623-8_29.
short: 'M. Seiler, U. Skvorc, C. Doerr, H. Trautmann, 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,
Springer, 2024, pp. 361–376.'
date_created: 2025-01-23T12:39:37Z
date_updated: 2025-01-23T12:40:32Z
department:
- _id: '819'
doi: 10.1007/978-3-031-75623-8_29
editor:
- first_name: Paola
full_name: Festa, Paola
last_name: Festa
- first_name: Daniele
full_name: Ferone, Daniele
last_name: Ferone
- first_name: Tommaso
full_name: Pastore, Tommaso
last_name: Pastore
- first_name: Ornella
full_name: Pisacane, Ornella
last_name: Pisacane
intvolume: ' 14990'
language:
- iso: eng
page: 361–376
publication: Learning and Intelligent Optimization - 18th International Conference,
LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers
publisher: Springer
series_title: Lecture Notes in Computer Science
status: public
title: Synergies of Deep and Classical Exploratory Landscape Features for Automated
Algorithm Selection
type: conference
user_id: '15504'
volume: 14990
year: '2024'
...
---
_id: '58338'
citation:
ama: Affenzeller M, Winkler SM, Kononova AV, et al., eds. Parallel Problem Solving
from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg,
Austria, September 14-18, 2024, Proceedings, Part III. Vol 15150. Springer;
2024. doi:10.1007/978-3-031-70071-2
apa: Affenzeller, M., Winkler, S. M., Kononova, A. V., Trautmann, H., Tusar, T.,
Machado, P., & Bäck, T. (Eds.). (2024). Parallel Problem Solving from Nature
- PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September
14-18, 2024, Proceedings, Part III (Vol. 15150). Springer. https://doi.org/10.1007/978-3-031-70071-2
bibtex: '@book{Affenzeller_Winkler_Kononova_Trautmann_Tusar_Machado_Bäck_2024, series={Lecture
Notes in Computer Science}, title={Parallel Problem Solving from Nature - PPSN
XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September
14-18, 2024, Proceedings, Part III}, volume={15150}, DOI={10.1007/978-3-031-70071-2},
publisher={Springer}, year={2024}, collection={Lecture Notes in Computer Science}
}'
chicago: Affenzeller, Michael, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann,
Tea Tusar, Penousal Machado, and Thomas Bäck, eds. Parallel Problem Solving
from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg,
Austria, September 14-18, 2024, Proceedings, Part III. Vol. 15150. Lecture
Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-70071-2.
ieee: M. Affenzeller et al., Eds., Parallel Problem Solving from Nature
- PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September
14-18, 2024, Proceedings, Part III, vol. 15150. Springer, 2024.
mla: Affenzeller, Michael, et al., editors. Parallel Problem Solving from Nature
- PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September
14-18, 2024, Proceedings, Part III. Springer, 2024, doi:10.1007/978-3-031-70071-2.
short: 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 III, Springer, 2024.
date_created: 2025-01-23T12:42:54Z
date_updated: 2025-01-23T12:44:21Z
department:
- _id: '819'
doi: 10.1007/978-3-031-70071-2
editor:
- first_name: Michael
full_name: Affenzeller, Michael
last_name: Affenzeller
- first_name: Stephan M.
full_name: Winkler, Stephan M.
last_name: Winkler
- first_name: Anna V.
full_name: Kononova, Anna V.
last_name: Kononova
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Tea
full_name: Tusar, Tea
last_name: Tusar
- first_name: Penousal
full_name: Machado, Penousal
last_name: Machado
- first_name: Thomas
full_name: Bäck, Thomas
last_name: Bäck
intvolume: ' 15150'
language:
- iso: eng
publication_identifier:
isbn:
- 978-3-031-70070-5
publisher: Springer
series_title: Lecture Notes in Computer Science
status: public
title: Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference,
PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part III
type: conference_editor
user_id: '15504'
volume: 15150
year: '2024'
...