Diederick Vermetten
PhD candidate
- Name
- D.L. Vermetten
- Telephone
- +31 71 527 7060
- d.l.vermetten@liacs.leidenuniv.nl
- ORCID iD
- 0000-0003-3040-7162
PhD candidate
- Science
- Leiden Inst of Advanced Computer Science
- 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 : 1-6.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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., 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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., 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.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., 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., 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. In: GECCO '20: Genetic and evolutionary computation conference.: 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.