Diederick Vermetten
PhD candidate
- Name
- D.L. Vermetten
- Telephone
- +31 71 527 7060
- d.l.vermetten@liacs.leidenuniv.nl
PhD candidate
- Science
- Leiden Inst of Advanced Computer Science
- 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., 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?. In: Krawiec K. (Ed.) Genetic and Evolutionary Computation Conference, Companion Volume. Lille, France: ACM. 1243–1250.
- Kostovska A., Vermetten D.L., Doerr D., Dzeroski S., Panov P. & Eftimov T. (8 July 2021), OPTION : optimization algorithm benchmarking ontology. GECCO '21: Genetic and Evolutionary Computation Conference 10 7 2021-14 7 2021 [conference poster].
- 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. In: Krawiec K. (Ed.) Genetic and Evolutionary Computation Conference, Companion Volume. 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., Rijn S.J. van, Bäck T.H.W. & Doerr C. (2019), Online selection of CMA-ES variants. In: Lopez-Ibanez M. (Ed.) Gecco '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York, NY, U.S.A.: ACM. 951-959.
No relevant ancillary activities