COBISS Co-operative Online Bibliographic system & services COBISS
Carola Doerr
Personal bibliography for the period 2020-2026
2020
1.
PAPA, Gregor, DOERR, Carola. Dynamic control parameter choices in evolutionary computation
: GECCO 2020 tutorial. In: GECCO '20 Proceedings of the 2020 Genetic and Evolutionary Computation Conference
Companion, July 2020, Cancún, Mexico. New York: ACM = Association for Computing Machinery, 2020. Str. 927-956. ISBN 978-1-4503-7127-8.
https://dl.acm.org/doi/pdf/10.1145/3377929.3389876. [COBISS.SI-ID 24384771]
2.
DOERR, Carola, PAPA, Gregor. Dynamic parameter choices in evolutionary computation
: pregledno predavanje. In: IEEE World Congress on Computational Intelligence (WCCI) 2020 [with] IEEE Computational
Intelligence Society (CIS), [and] The 2020 International Joint Conference on Neural
Networks (IJCNN 2020) [and] the 2020 IEEE International Conference on Fuzzy Systems
(FUZZ-IEEE 2020); [and] the 2020 IEEE Congress on Evolutionary Computation (IEEE CEC
2020), July 19-24, 2020, Glasgow, United Kindom : virtual conference. Danvers: IEEE = Institute of Electrical and Electronics Engineers - Wikipedia, 2020.
https://wcci2020.org/tutorials-cec/#tutorial-cec-09. [COBISS.SI-ID 38542851]
3.
EFTIMOV, Tome, POPOVSKI, Gorjan, RENAU, Quentin, KOROŠEC, Peter, DOERR, Carola. Linear
matrix factorization embeddings forsingle-objective optimization landscapes. In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI) : December 1-4, 2020,
Camberra, Australia : (running virtually in 2020). [S. l.]: IEEE Xplore, 2020. Str. 775-782. ISBN 978-1-7281-2547-3. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9308180. [COBISS.SI-ID 49851395]
2021
4.
KOSTOVSKA, Ana, VERMETTEN, Diederick, DOERR, Carola, DŽEROSKI, Sašo, PANOV, Panče,
EFTIMOV, Tome. OPTION : optimization algorithm benchmarking ontology. In: CHICANO,
Francisco (ed.). GECCO '21, Proceedings of the Genetic and Evolutionary Computation Conference Companion,
10 July - 14 July, 2021, Lille, France. New York: ACM = Association for Computing Machinery, 2021. Str. 239-240. ISBN 978-1-4503-8350-9.
DOI: 10.1145/3449726.3459579. [COBISS.SI-ID 71045635]
5.
EFTIMOV, Tome, JANKOVIČ, Anja, POPOVSKI, Gorjan, DOERR, Carola, KOROŠEC, Peter. Personalizing
performance regression models to black-box optimization problems. In: CHICANO, Francisco
(ed.). GECCO '21, Proceedings of the Genetic and Evolutionary Computation Conference Companion,
10 July - 14 July, 2021, Lille, France. New York: ACM = Association for Computing Machinery, 2021. Str. 669-677. ISBN 978-1-4503-8350-9.
DOI: 10.1145/3449639.3459407. [COBISS.SI-ID 68599811]
6.
JANKOVIĆ, Anja, POPOVSKI, Gorjan, EFTIMOV, Tome, DOERR, Carola. The impact of hyper-parameter
tuning for landscape-aware performance regression and algorithm selection. In: CHICANO,
Francisco (ed.). GECCO '21, Proceedings of the Genetic and Evolutionary Computation Conference Companion,
10 July - 14 July, 2021, Lille, France. New York: ACM = Association for Computing Machinery, 2021. Str. 687-696. ISBN 978-1-4503-8350-9.
DOI: 10.1145/3449639.3459406. [COBISS.SI-ID 68594435]
7.
JANKOVIČ, Anja, EFTIMOV, Tome, DOERR, Carola. Towards feature-based performance regression
using trajectory data. In: CASTILLO, Pedro A. (ed.), JIMÉNEZ LAREDO, Juan Luis (ed.).
Applications of evolutionary computation : 24th International Conference, EvoApplications
2021, held as Part of EvoStar 2021 Virtual Event, April 7-9, 2021 : proceedings. Cham: Springer, 2021. Lncs 12694, str. 601-617. Lecture notes in computer science,
LNCS 12694. ISBN 978-3-030-72698-0, ISBN 978-3-030-72699-7. ISSN 0302-9743. DOI: 10.1007/978-3-030-72699-7_38. [COBISS.SI-ID 58290179]
2022
8.
KOSTOVSKA, Ana, DOERR, Carola, DŽEROSKI, Sašo, KOCEV, Dragi, PANOV, Panče, EFTIMOV,
Tome. Explainable model-specific algorithm selection for multi-label classification.
In: ISHIBUCHI, Hisao (ed.). Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence (SSCI
2022) : 4 - 7 December 2022, Singapore. Piscataway: IEEE = Institute of Electrical and Electronics Engineers, cop. 2022.
Str. 39-46, ilustr. ISBN 978-1-6654-0983-4, ISBN 978-1-6654-8768-9. https://rpsonline.com.sg/rps2prod/ieee-ssci2022/index.html. [COBISS.SI-ID 135754755]
9.
KOSTOVSKA, Ana, VERMETTEN, Diederick, DŽEROSKI, Sašo, DOERR, Carola, KOROŠEC, Peter,
EFTIMOV, Tome. The importance of landscape features for performance prediction of
modular CMA-ES variants. In: FIELDSEND, Jonathan E. (ed.). GECCO'22 : proceedings of the 2022 : Genetic and Evolutionary Computation Conference
: July 9 - 13 2022, Boston, Massachusetts. New York: The Association for Computing Machinery, 2022. Str. 648-656, ilustr. ISBN
978-1-4503-9237-2. https://dl.acm.org/doi/pdf/10.1145/3512290.3528832, DOI: 10.1145/3512290.3528832. [COBISS.SI-ID 115024387]
10.
TRAJANOV, Risto, NIKOLIKJ, Ana, CENIKJ, Gjorgjina, TEYTAUD, Fabien, VIDEAU, Mathurin,
EFTIMOV, Tome, LÓPEZ-IBÁÑEZ, Manuel, DOERR, Carola. Improving nevergrad’s algorithm
selection wizard NGOpt through automated algorithm configuration. In: RUDOLPH, Günter
(ed.), TUŠAR, Tea (ed.). Parallel problem solving from nature - PPSN XVII : 17th International Conference,
PPSN 2022, Dortmund, Germany, September 10-14, 2022 : proceedings. Part I. Cham: Springer, 2022. Str. 18-31. Lecture notes in computer science, Vol. 13398.
ISBN 978-3-031-14714-2, ISBN 978-3-031-14713-5. https://link.springer.com/chapter/10.1007/978-3-031-14714-2_2. [COBISS.SI-ID 118299395]
11.
KOSTOVSKA, Ana, VERMETTEN, Diederick, DOERR, Carola, DŽEROSKI, Sašo, PANOV, Panče,
EFTIMOV, Tome. OPTION : OPTImization Algorithm Benchmarking ONtology. 2022. IJS delovno poročilo, 13997. [COBISS.SI-ID 118144515]
12.
KOSTOVSKA, Ana, JANKOVIĆ, Anja, VERMETTEN, Diederick, NOBEL, Jacob de, WANG, Hao,
EFTIMOV, Tome, DOERR, Carola. Per-run algorithm selection with warm-starting using
trajectory-based Features. In: RUDOLPH, Günter (ed.), TUŠAR, Tea (ed.). Parallel problem solving from nature - PPSN XVII : 17th International Conference,
PPSN 2022, Dortmund, Germany, September 10-14, 2022 : proceedings. Part I. Cham: Springer, 2022. Str. 46-60. Lecture notes in computer science, Vol. 13398.
ISBN 978-3-031-14714-2, ISBN 978-3-031-14713-5. https://link.springer.com/chapter/10.1007/978-3-031-14714-2_4. [COBISS.SI-ID 118299907]
13.
CENIKJ, Gjorgjina, DIETER LANG, Ryan, ENGELBRECHT, Andries Petrus, DOERR, Carola,
KOROŠEC, Peter, EFTIMOV, Tome. SELECTOR : selecting a representative benchmark suite
for reproducible statistical comparison. In: FIELDSEND, Jonathan E. (ed.). GECCO'22 : proceedings of the 2022 : Genetic and Evolutionary Computation Conference
: July 9 - 13 2022, Boston, Massachusetts. New York: The Association for Computing Machinery, 2022. Str. 620-629, ilustr. ISBN
978-1-4503-9237-2. https://dl.acm.org/doi/pdf/10.1145/3512290.3528809, DOI: 10.1145/3512290.3528809. [COBISS.SI-ID 115027203]
14.
JANKOVIĆ, Anja, VERMETTEN, Diederick, KOSTOVSKA, Ana, NOBEL, Jacob de, EFTIMOV, Tome,
DOERR, Carola. Trajectory-based algorithm selection with warm-starting. In: 2022 IEEE Congress on Evolutionary Computation, CEC 2022,18-23 July. Piscataway: IEEE = Institute of Electrical and Electronics Engineers, 2022. 8 str.
ISBN 978-1-6654-6708-7. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9870222. [COBISS.SI-ID 120774659]
2023
15.
NIKOLIKJ, Ana, DŽEROSKI, Sašo, MUÑOZ, Mario Andrés, DOERR, Carola, KOROŠEC, Peter,
EFTIMOV, Tome. Algorithm instance footprint : separating easily solvable and challenging
problem instances. In: GECCO'23 : proceedings of the Genetic and Evolutionary Computation Conference Companion
: July 15-19, 2023, Lisbon. New York: The Association for Computing Machinery, cop. 2023. Str. 529-537, ilustr.
ISBN 979-8-4007-0119-1. https://dl.acm.org/doi/abs/10.1145/3583131.3590424, DiRROS - Digital repository of Slovenian research organizations, DOI: 10.1145/3583131.3590424. [COBISS.SI-ID 162950147]
16.
NIKOLIKJ, Ana, CENIKJ, Gjorgjina, ISPIROVA, Gordana, VERMETTEN, Diederick, DIETER
LANG, Ryan, ENGELBRECHT, Andries Petrus, DOERR, Carola, KOROŠEC, Peter, EFTIMOV, Tome.
Assessing the generalizability of a performance predictive model. In: GECCO'23 companion : proceedings of the Genetic and Evolutionary Computation Conference
Companion : July 15-19, 2023, Lisbon. New York: The Association for Computing Machinery, cop. 2023. Str. 311-314, ilustr.
ISBN 979-8-4007-0120-7. https://dl.acm.org/doi/10.1145/3583133.3590617, DiRROS - Digital repository of Slovenian research organizations, DOI: 10.1145/3583133.3590617. [COBISS.SI-ID 162992131]
17.
CENIKJ, Gjorgjina, PETELIN, Gašper, DOERR, Carola, KOROŠEC, Peter, EFTIMOV, Tome.
DynamoRep : trajectory-based population dynamics for classification of black-box optimization
problems. In: GECCO'23 : proceedings of the Genetic and Evolutionary Computation Conference Companion
: July 15-19, 2023, Lisbon. New York: The Association for Computing Machinery, cop. 2023. Str. 813-821, ilustr.
ISBN 979-8-4007-0119-1. https://dl.acm.org/doi/abs/10.1145/3583131.3590401, DiRROS - Digital repository of Slovenian research organizations, DOI: 10.1145/3583131.3590401. [COBISS.SI-ID 162309891]
18.
KOSTOVSKA, Ana, VERMETTEN, Diederick, DOERR, Carola, DŽEROSKI, Sašo, PANOV, Panče,
EFTIMOV, Tome. OPTION : OPTImization algorithm benchmarking ONtology. IEEE transactions on evolutionary computation. Dec. 2023, vol. 27, iss. 6, str. 1618-1632, ilustr. ISSN 1941-0026. DOI: 10.1109/TEVC.2022.3232844. [COBISS.SI-ID 135856131]
19.
KOSTOVSKA, Ana, CENIKJ, Gjorgjina, VERMETTEN, Diederick, JANKOVIĆ, Anja, NIKOLIKJ,
Ana, ŠKVORC, Urban, KOROŠEC, Peter, DOERR, Carola, EFTIMOV, Tome. PS-AAS : portfolio
selection for automated algorithm selection in black-box optimization. Proceedings of Machine learning research, International Conference on Automated Machine Learning, 12-15 November 2023, Potsdam,
Germany. 2023, vol. 228, str. 1-17, ilustr. ISSN 2640-3498. https://proceedings.mlr.press/v228/kostovska23a/kostovska23a.pdf, DiRROS - Digital repository of Slovenian research organizations. [COBISS.SI-ID 176841475]
20.
NIKOLIKJ, Ana, DOERR, Carola, EFTIMOV, Tome. RF+clust for leave-one-problem-out performance
prediction. In: CORREIA, João (ed.), SMITH, Stephen (ed.), QADDOURA, Raneem (ed.).
Applications of evolutionary computation : 26th European Conference, EvoApplications
2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, : proceedings. Cham: Springer, 2023. Str. 285-301, ilustr. Lecture notes in computer science, 13989.
ISBN 978-3-031-30229-9, ISBN 3-031-30229-X. ISSN 1611-3349. https://link.springer.com/chapter/10.1007/978-3-031-30229-9_19, DiRROS - Digital repository of Slovenian research organizations, DOI: 10.1007/978-3-031-30229-9_19. [COBISS.SI-ID 153573891]
21.
NIKOLIKJ, Ana, PLUHACEK, Michal, DOERR, Carola, KOROŠEC, Peter, EFTIMOV, Tome. Sensitivity
analysis of RF+clust for leave-one-problem-out performance prediction. In: 2023 IEEE Congress on Evolutionary Computation (CEC) : 1-5 July 2023, [Chicago]. [Piscataway: The Institute of Electrical and Electronics Engineers, 2023]. Str.
[1-8], ilustr. ISBN 979-8-3503-1458-8. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10254146, DiRROS - Digital repository of Slovenian research organizations, DOI: 10.1109/CEC53210.2023.10254146. [COBISS.SI-ID 166119427]
22.
KOSTOVSKA, Ana, VERMETTEN, Diederick, DŽEROSKI, Sašo, PANOV, Panče, EFTIMOV, Tome,
DOERR, Carola. Using knowledge graphs for performance prediction of modular optimization
algorithms. In: CORREIA, João (ed.), SMITH, Stephen (ed.), QADDOURA, Raneem (ed.).
Applications of evolutionary computation : 26th European Conference, EvoApplications
2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, : proceedings. Cham: Springer, 2023. Str. 253-268, ilustr. Lecture notes in computer science, 13989.
ISBN 978-3-031-30229-9, ISBN 3-031-30229-X. ISSN 1611-3349. https://link.springer.com/chapter/10.1007/978-3-031-30229-9_17#Abs1, DOI: 10.1007/978-3-031-30229-9_17. [COBISS.SI-ID 153406979]
2024
23.
NIKOLIKJ, Ana, KOSTOVSKA, Ana, CENIKJ, Gjorgjina, DOERR, Carola, EFTIMOV, Tome. Generalization
ability of feature-based performance prediction models : a statistical analysis across
benchmarks. In: 2024 IEEE Congress on Evolutionary Computation (CEC) : [June 30th to July 5th, 2024,
Yokohama, Japan]. [Piscataway: The Institute of Electrical and Electronics Engineers, 2024]. 8 str.
ISBN 979-8-3503-0836-5. https://ieeexplore.ieee.org/document/10611952, DiRROS - Digital repository of Slovenian research organizations, DOI: 10.1109/CEC60901.2024.10611952. [COBISS.SI-ID 206945027]
24.
SEILER, Moritz, ŠKVORC, Urban, CENIKJ, Gjorgjina, DOERR, Carola, TRAUTMANN, Heike.
Learned features vs. classical ELA on affine BBOB functions. In: AFFENZELLER, Michael
(ed.), et al. Parallel problem solving from nature - PPSN XVIII : 18th International Conference,
PPSN 2024 : Hagenberg, Austria, September 14-18, 2024 : proceedings. Part II. Cham: Springer Nature, cop. 2024. Str. 137-153, ilustr. Lecture notes in computer
science, 15149. ISBN 978-3-031-70068-2, ISBN 3-031-70068-6. ISSN 1611-3349. https://link.springer.com/chapter/10.1007/978-3-031-70068-2_9, DiRROS - Digital repository of Slovenian research organizations, DOI: 10.1007/978-3-031-70068-2_9. [COBISS.SI-ID 221155843]
25.
NIKOLIKJ, Ana, KOSTOVSKA, Ana, VERMETTEN, Diederick, DOERR, Carola, EFTIMOV, Tome.
Quantifying individual and joint module impact in modular optimization frameworks.
In: 2024 IEEE Congress on Evolutionary Computation (CEC) : [June 30th to July 5th, 2024,
Yokohama, Japan]. [Piscataway: The Institute of Electrical and Electronics Engineers, 2024]. 8 str.
ISBN 979-8-3503-0836-5. https://ieeexplore.ieee.org/document/10611779/authors#authors, DiRROS - Digital repository of Slovenian research organizations, DOI: 10.1109/CEC60901.2024.10611779. [COBISS.SI-ID 206940675]
26.
KOSTOVSKA, Ana, VERMETTEN, Diederick, KOROŠEC, Peter, DŽEROSKI, Sašo, DOERR, Carola,
EFTIMOV, Tome. Using machine learning methods to assess module performance contribution
in modular optimization frameworks. Evolutionary computation. [Online ed.]. <in press>, 31 str. ISSN 1530-9304. https://direct.mit.edu/evco/article-abstract/doi/10.1162/evco_a_00356/123899/Using-Machine-Learning-Methods-to-Assess-Module?redirectedFrom=fulltext, DiRROS - Digital repository of Slovenian research organizations, DOI: 10.1162/evco_a_00356. [COBISS.SI-ID 206993155]
2025
27.
CENIKJ, Gjorgjina, PETELIN, Gašper, DOERR, Carola, KOROŠEC, Peter, EFTIMOV, Tome.
Beyond landscape analysis : DynamoRep features for capturing algorithm-problem interaction
In single-objective continuous optimization. Evolutionary computation. [in press] 2025. ISSN 1063-6560. DOI: 10.1162/evco_a_00370. [COBISS.SI-ID 228858371]
28.
KOSTOVSKA, Ana, DOERR, Carola, DŽEROSKI, Sašo, PANOV, Panče, EFTIMOV, Tome. Geometric
learning in black-box optimization : a GNN framework for algorithm performance prediction.
In: GECCO'25 Companion : proceedings of the 2025 Genetic and Evolutionary Computation
Conference Companion : July 14-18, 2025 Málaga, Spain. New York: The Association for Computing Machinery, cop. 2025. Str. 487 - 490, ilustr.
ISBN 979-8-4007-1464-1. https://dl.acm.org/doi/proceedings/10.1145/3712255, DiRROS - Digital repository of Slovenian research organizations. [COBISS.SI-ID 246082563]
29.
SANTONI, Maria Laura. Investigating black-box optimization algorithms for applications in structural mechanics. [S. l.: M. L. Santoni], 2025. 1 USB-ključ (1 datoteka PDF (X, 198 str.)), ilustr.
[COBISS.SI-ID 264126723]
2026
30.
CENIKJ, Gjorgjina, NIKOLIKJ, Ana, PETELIN, Gašper, VAN STEIN, Niki, DOERR, Carola,
EFTIMOV, Tome. A survey of features used for representing black-box single-objective
continuous optimization. Swarm and evolutionary computation. Feb. 2026, vol. 101, [article no.] 102288, str. 1-22, ilustr. ISSN 2210-6510. https://www.sciencedirect.com/science/article/pii/S2210650226000088?via%3Dihub, DiRROS - Digital repository of Slovenian research organizations, DOI: 10.1016/j.swevo.2026.102288. [COBISS.SI-ID 265634819]