Diederick Vermetten
Postdoc
- Name
- Dr. D.L. Vermetten
- Telephone
- 071 5272727
- d.l.vermetten@liacs.leidenuniv.nl
- ORCID iD
- 0000-0003-3040-7162
Postdoc
- Faculty of Science
- LIACS
- López-Ibáñez M., Vermetten D.L., Dreo J. & Doerr C. (2025), Using the empirical attainment function for analyzing single-objective black-box optimization algorithms, IEEE Transactions on Evolutionary Computation 29(5): 1774-1782.
- Vermetten D.L., Ye F., Bäck T.H.W. & Doerr C. (2025), MA-BBOB: a problem generator for black-box optimization using affine combinations and shifts, ACM Transactions on Evolutionary Learning and Optimization 5(1): 5.
- Kostovska A., Vermetten D.L., Korošec P., Džeroski S., Doerr C. & Eftimov T. (2025), Using machine learning methods to assess module performance contribution in modular optimization frameworks, Evolutionary Computation 33(4): 485-512.
- Vonk M.C., Vermetten D.L., Nobel J.P. de, Brand S., Malekovic N., Bäck T.H.W., Laarman A.W. & Kononova A.V. (2025), Optimizing causal interventions in hybrid bayesian networks: a discretization, knowledge compilation, and heuristic optimization approach. Lesot M.J., Vieira S., Reformat M.Z., Carvalho J.P., Batista F., Bouchon-Meunier B. & Yager R.R. (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2024. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU) 22 July 2024 - 26 July 2024. Lecture Notes in Networks and Systems no. 1174. Cham: Springer. 245–256.
- Vermetten D.L. (13 February 2025), From benchmarking optimization heuristics to dynamic algorithm configuration (Dissertatie. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University). Supervisor(s) and Co-supervisor(s): Bäck T.H.W., Doerr C. & Wang H.
- Stein N. van, Vermetten D.L., Kononova A.V. & Bäck T.H.W. (2025), Explainable Benchmarking for Iterative Optimization Heuristics, Transactions on Evolutionary Learning 5(2): 13.
- Stein N. van, Vermetten D.L. & Bäck T.H.W. (2025), In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics, Transactions on Evolutionary Learning : .
- Thomson S.L., Renau Q, Vermetten D.L., Hart E., Stein N. van & Kononova A.V. (2025), Stalling in Space: Attractor Analysis for Any Algorithm. García-Sánchez P., Hart E. & Thomson S.L. (Eds.), Applications of Evolutionary Computation. EvoApplications 2025. 28th European Conference, EvoApplications 2025 23 April 2025 - 25 April 2025. Lecture Notes in Computer Science no. 15612. Cham: Springer . 510-526.
- Kononova A.V., Vermetten D.L. & Stein N. van (2025), XAI for Benchmarking Black-Box Metaheuristics. In: Stein N. van & Kononova A.V. (Eds.), Explainable AI for Evolutionary Computation. Natural Computing Series. Singapore: Springer. 93-115.
- Nobel J.P. de, Ye F., Vermetten D.L., Wang H., Doerr C. & Bäck T.H.W. (2024), IOHexperimenter: benchmarking platform for Iterative Optimization Heuristics, Evolutionary Computation 32(3): 205-210.
- Vermetten DL., Lengler J., Rusin D., Bäck T.H.W. & Doerr C. (2024), Empirical analysis of the dynamic binary value problem with IOHprofiler. Affenzeller M., Winkler S.M., Kononova A.V., Trautmann H., Tusar T., Machado P. & Bäck T.H.W. (Eds.), Parallel problem solving from nature: PPSN XVIII. Parallel Problem Solving from Nature – PPSN XVIII 14 September 2024 - 18 September 2024. Lecture Notes in Computer Science no. 15149. Cham: Springer . 20-35.
- Dietrich K., Vermetten D.L., Doerr C. & Kerschke P. (2024), Impact of training instance selection on automated algorithm selection models for numerical black-box optimization , GECCO '24: proceedings of the genetic and evolutionary computation conference companion. GECCO '24: Genetic and Evolutionary Computation Conference 14 July 2024 - 18 July 2024. New York: Association for computing machinery. 1007-1016.
- Nikolikj A., Kostovska A., Vermetten D.L., Doerr C. & Eftimov T. (2024), Quantifying individual and joint module impact in modular optimization frameworks, 2024 IEEE Congress on Evolutionary Computation (CEC). 2024 IEEE Congress on Evolutionary Computation (CEC) 30 June 2024 - 5 July 2024: IEEE.
- Halsema M., Vermetten D.L., Bäck T.H.W. & Stein N. van, ACM Conferences: 1993-2001.
- Vermetten D.L., Doerr C., Wang H., Kononova A.V. & Bäck T.H.W. (2024), Large-scale benchmarking of metaphor-based optimization heuristics, Large-scale benchmarking of metaphor-based optimization heuristics. Gecco '24 Genetic and evolutionary computation 14 July 2024 - 18 July 2024. New York: Association for Computing Machinery. 41-49.
- Nobel J.P. de, Vermetten D.L., Kononova A.V., Shir O.M. & Bäck T.H.W. (2024), Avoiding redundant restarts in multimodal global optimization. Affenzeller M., Winkler S.M., Kononova A.V., Trautmann H., Tusar T., Machado P. & Bäck T.H.W. (Eds.), Parallel problem solving from nature: PPSN XVIII. Parallel Problem Solving from Nature – PPSN XVIII 14 September 2024 - 18 September 2024. Lecture Notes in Computer Science no. 15149. Cham: Springer. 268–283.
- Vermetten D.L., López-Ibánez M., Mersmann O., Allmendinger R. & Kononova A.V. (2023), Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite, GECCO '23 Companion: proceedings of the companion conference on genetic and evolutionary computation. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 July 2023 - 19 July 2023. New York: Association for Computer Machinery. 2346–2353.
- Nikolikj A., Cenikj G., Ispirova G., Vermetten D.L., Lang D.R., Engelbrecht P.A., Doerr C., Korosec P. & Eftimov T. (2023), Assessing the generalizability of a performance predictive model, GECCO '23 companion: proceedings of the companion conference on genetic and evolutionary computation. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 July 2023 - 19 July 2023. New York, : Association for Computer Machinery. 311-314.
- Long X.F., Vermetten D.L., Stein N. van & Kononova A.V. (2023), BBOB instance analysis: landscape properties and algorithm performance across problem instances. Correia J., Smith S. & Qaddoura R. (Eds.), Applications of evolutionary computation. International Conference on the Applications of Evolutionary Computation (Part of EvoStar) 12 April 2023 - 14 April 2023. Lecture Notes in Computer Science no. 13989. Cham: Springer. 380-395.
- Kostovska A., Jankovic A., Vermetten D.L., Dzeroski S., Eftimov T. & Doerr C. (2023), Comparing algorithm selection approaches on black-box optimization problems, GECCO '23 Companion: proceedings of the companion conference on genetic and evolutionary computation. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 July 2023 - 19 July 2023. New York: Association for Computer Machinery. 495-498.
- Stein N. van, Vermetten D.L., Caraffini F. & Kononova A.V. (2023), Deep BIAS: detecting structural bias using explainable AI, GECCO '23 companion: proceedings of the companion conference on genetic and evolutionary computation. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 July 2023 - 19 July 2023. New York, U.S.A.: Association for Computing Machinery. 455-458.
- Kalkreuth R.T., Vasicek Z., Husa J., Vermetten D.L., Ye F. & Bäck T.H.W. (2023), General Boolean function benchmark suite, FOGA '23: proceedings of the 17th ACM/SIGEVO conference on foundations of genetic algorithms. FOGA '23: Foundations of Genetic Algorithms XVII 30 August 2023 - 1 September 2023. New York, N.Y., U.S.A.: Association for Computer Machinery. 84-95.
- Vermetten D.L., Caraffini F., Kononova A.V. & Bäck T.H.W. (2023), Modular differential evolution, GECCO '23: Proceedings of the genetic and evolutionary computation conference. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 July 2023 - 19 July 2023. New York, N.Y., U.S.A.: Association for Computer Machinery. 864–872.
- Kostovska A., Vermetten D.L., Doerr C., Dzeroski S., Panov P. & Eftimov T. (2023), OPTION: OPTImization Algorithm Benchmarking ONtology, IEEE Transactions on Evolutionary Computation 27(6): 1618-1632.
- Vermetten D.L., Wang H., Sim K. & Hart E. (2023), To switch or not to switch: predicting the benefit of switching between algorithms based on trajectory features. Correia J., Smith S. & Quaddoura R. (Eds.), Applications of evolutionary computation. 26th European Conference, EvoApplications 2023 12 April 2023 - 14 April 2023. Lecture Notes in Computer Science. Cham: Springer. 335-350.
- Kalkreuth R.T., Vašíček Z., Husa J., Vermetten D.L., Ye F. & Bäck T.H.W. (2023), Towards a general boolean function benchmark suite, GECCO '23: proceedings of the Genetic and Evolutionary Computation Conference. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 July 2023 - 19 July 2023. New York, N.Y., U.S.A.: Association for Computer Machinery. 591-594.
- Vermetten D.L., Ye F. & Doerr C. (2023), Using affine combinations of BBOB problems for performance assessment, GECCO '23: Proceedings of the genetic and evolutionary computation conference. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 July 2023 - 19 July 2023. New York, N.Y., U.S.A.: Association for Computer Machinery. 873–881.
- Kostovska A., Vermetten D.L., Dzeroski S., Panov P., Eftimov T. & Doerr C. (2023), Using knowledge graphs for performance prediction of modular optimization algorithms. Correia J., Smith S. & Quaddoura R. (Eds.), EvoApplications 2023: applications of evolutionary computation. 26th European Conference, EvoApplications 2023 12 April 2023 - 14 April 2023. Lecture Notes in Computer Science. Cham: Springer. 253-268.
- Thomaser A., Nobel J.P. de, Vermetten D.L., Ye F., Bäck T.H.W. & Kononova A.V. (2023), When to be discrete: analyzing algorithm performance on discretized continuous problems, GECCO '23: Proceedings of the genetic and evolutionary computation conference. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 July 2023 - 19 July 2023. New York: Association for Computer Machinery. 856-863.
- Back T.H.W., Kononova A.V., Stein N. van, Wang H., Antonov K., Kalkreuth R.T., Nobel J.P. de, Vermetten D., Winter R. de & Ye F. (2023), Evolutionary algorithms for parameter optimization: thirty years later, Evolutionary Computation 31(2): 81-122.
- Clement F., Vermetten D.L., Nobel J.P. de, Jesus A.D., Paquete L. & Doerr C. (2023), Computing star discrepancies with numerical black-box optimization algorithms, GECCO '23 companion: proceedings of the companion conference on genetic and evolutionary computation. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 July 2023 - 19 July 2023. New York, U.S.A.: Association for Computing Machinery. 1330-1338.
- Neumann F., Neumann A, Qian C., Viet Do A., Nobel J.P. de, Vermetten D.L., Ahouei S.S., Ye F., Wang H. & Bäck T.W.H. (2023), Benchmarking algorithms for submodular optimization problems using IOHProfiler, 2023 IEEE Congress on Evolutionary Computation (CEC). 2023 IEEE Congress on Evolutionary Computation (CEC) 1 July 2023 - 5 July 2023: Institute of Electrical and Electronics Engineers (IEEE). 972-981.
- Long F.X., Vermetten D, Kononova A.V., Kalkreuth R, Yang K., Bäck T.H.W. & Stein N. van (2023), Challenges of ELA-guided function evolution using genetic programming. Stein N. van, Marcelloni F., Lam H.K., Cottrell M. & Filipe J. (Eds.), Proceedings of the 15th international joint conference on computational intelligence ECTA. 15th International Joint Conference on Computational Intelligence - ECTA 13 November 2023 - 15 November 2023 no. 1. Portugal: SciTePress. 119-130.
- Long F.X., Vermetten D.L., Stein N. van & Kononova A.V. (2023), BBOB instance analysis: landscape properties and algorithm performance across problem instances. Correia J., Smith S. & Qaddoura R. (Eds.), Applications of evolutionary computation. 26th European Conference, EvoApplications 2023 12 April 2023 - 14 April 2023. Lecture Notes in Computer Science no. 13989. Cham: Springer. 380-395.
- Bäck Thomas H. W. Kononova Anna V. van Stein Bas Wang Hao Antonov Kirill A. Kalkreuth Roman T. de Nobel Jacob Vermetten Diederick de Winter Roy Ye Furong (2023), Evolutionary Algorithms for Parameter Optimization—Thirty Years Later, Evolutionary Computation 31(2): 81-122.
- Bonet-Monroig X., Wang H., Vermetten D.L., Senjean B., Moussa C., Bäck T.H.W., Dunjko V. & O'Brien T.E. (2023), Performance comparison of optimization methods on variational quantum algorithms, Physical Review A 107(3): 032407.
- Kostovska A., Jankovic A., Vermetten D.L., Nobel J.P. de, Wang H., Eftimov T. & Doerr C. (2022), Per-run algorithm selection with warm-starting using trajectory-based features. Rudolph G.: Kononova A.V., Aguiree H., Kerschke P., Ochoa G. & Tušar T. (Eds.), Lecture notes in computer science. 17th International Conference, PPSN 2022 10 September 2022 - 14 September 2022. Lecture Notes in Computer Science no. 13398. Cham: Springer International Publishing. 46--60.
- Kostovska A., Vermetten D.L., Dzeroski S., Doerr C., Korosec P. & Eftimov T. (2022), The importance of landscape features for performance prediction of modular CMA-ES variants. Fieldsend J.E. (Ed.), GECCO '22: proceedings of the genetic and evolutionary computation conference. GECCO '22: Genetic and Evolutionary Computation Conference 9 July 2022 - 13 July 2022. New York: Association for Computing Machinery. 648-656.
- Jankovic A., Vermetten D.L., Kostovska A., Nobel J.P. de, Eftimov T. & Doerr C. (2022), Trajectory-based algorithm selection with warm-starting, 2022 IEEE Congress on Evolutionary Computation (CEC). 2022 IEEE Congress on Evolutionary Computation (CEC) 18 July 2022 - 23 July 2022: Institute of Electrical and Electronics Engineers (IEEE). 1-8.
- Vermetten Diederick van Stein Bas Caraffini Fabio Minku Leandro L. Kononova Anna V. (2022), BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain, IEEE Transactions on Evolutionary Computation 26: 1380-1393.
- Vermetten D.L., Stein B. van, Kononova A.V. & Caraffini F. (2022), Analysis of structural bias in differential evolution configurations. In: Kumar B.V., Oliva D. & Suganthan P.N (Eds.), Differential evolution: from theory to practice. Studies in Computational Intelligence. Singapore: Springer. 1-22.
- Vermetten D.L., Caraffini F., Stein B. van & Kononova A.V. (2022), Using structural bias to analyse the behaviour of modular CMA-ES. Fieldsend J.E. (Ed.), GECCO '22: Proceedings of the genetic and evolutionary computation conference companion. GECCO '22: Genetic and Evolutionary Computation Conference 9 July 2022 - 13 July 2022. Boston: ACM. 1674-1682.
- Wang H., Vermetten D., Ye F., Doerr C. & Bäck T.H.W (2022), IOHanalyzer: detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022. Fieldsend J.E. (Ed.), GECCO '22: proceedings of the genetic and evolutionary computation conference companion. GECCO '22: Genetic and Evolutionary Computation Conference 9 July 2022 - 13 July 2022. New York, NY, United States: Association for Computing Machinery . 49-50.
- Wang H., Vermetten D., Ye F., Doerr C. & Bäck T.H.W. (2022), IOHanalyzer: detailed performance analyses for iterative optimization heuristics, ACM Transactions on Evolutionary Learning and Optimization 2(1): 3.
- Ye F., Vermetten D., Doerr C. & Bäck T.H.W. (2022), Non-elitist selection can improve the performance of irace. Rudolph G., Kononova A.V., Aguirre H., Kerschke P., Ochoa G. & Tušar T. (Eds.), Parallel problem solving from nature: PPSN XVII. 17th International Conference on Parallel Problem Solving from Nature 10 September 2022 - 14 September 2022 no. 13398. Cham: Springer. 32-45.
- Kostovska A., Vermetten D.L., Doerr D., Dzeroski S., Panov P. & Eftimov T. (2021), OPTION : optimization algorithm benchmarking ontology. GECCO '21: Genetic and Evolutionary Computation Conference, Lille. 10 July 2021 - 14 July 2021. [conference poster].
- Vermetten D., Kononova A.V., Caraffini F., Wang H. & Bäck T.H.W. (2021), Is there anisotropy in structural bias?. Krawiec K. (Ed.), Genetic and Evolutionary Computation Conference, Companion Volume. GECCO '21: Genetic and Evolutionary Computation Conference 10 July 2021 - 14 July 2021. Lille, France: ACM. 1243–1250.
- Nobel J.P. de, Vermetten D., Wang H., Doerr C. & Bäck T.H.W. (2021), Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules. Krawiec K. (Ed.), Genetic and Evolutionary Computation Conference, Companion Volume. GECCO '21: Genetic and Evolutionary Computation Conference 10 July 2021 - 14 July 2021. Lille, France: ACM. 1375-1384.
- Vermetten D.L., Stein B. van, Caraffini F., Minku L. & Kononova A.V. (2021), BIAS: a toolbox for benchmarking structural bias in the continuous domain. Institute of Electrical and Electronics Engineers (IEEE). [working paper].
- Vermetten D.L., Wang H., Doerr C. & Bäck T.H.W. (2020), Sequential vs. Integrated Algorithm Selection and Configuration: A Case Study for the Modular CMA-ES. arXiv no. 1912.05899. [working paper].
- Vermetten D.L., Wang H., Bäck T.H.W. & Doerr C. (2020), Towards dynamic algorithm selection for numerical black-box optimization: investigating BBOB as a use case, GECCO '20: Proceedings of the 2020 genetic and evolutionary computation conference companion. Genetic and Evolutionary Computation Conference (GECCO 2020) 8 July 2020 - 12 July 2020. New York, U.S.A.: Association for Computing Machinery. 654-662.
- Vermetten D.L., Wang H., Doerr C. & Bäck T.H.W. (2020), Integrated vs. sequential approaches for selecting and tuning CMA-ES variants, GECCO '20: Genetic and evolutionary computation conference. Genetic and Evolutionary Computation Conference (GECCO 2020) 8 July 2020 - 12 July 2020: ACM. 903-912.
- Vermetten D.L., Rijn S.J. van, Bäck T.H.W. & Doerr C. (2019), Online selection of CMA-ES variants. Lopez-Ibanez M. (Ed.), Gecco '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019 13 July 2019 - 17 July 2019. New York, NY, U.S.A.: ACM. 951-959.