Ivan Olarte Rodriguez
PhD candidate
- Name
- I. Olarte Rodriguez MSc
- Telephone
- 071 5272727
- i.olarte.rodriguez@liacs.leidenuniv.nl
- ORCID iD
- 0009-0005-0748-9069
Ivan Olarte Rodriguez is a PhD Student at the Leiden Institute of Advanced Computer Science (LIACS). He received a M.Sc in Mechanical Engineering from the Universidad de los Andes in 2020 and a M.Sc in Computational Mechanics from the Technical University of Munich (TUM) in 2024.
PhD candidate
- LIACS
- Natural Computing
- Olarte Rodriguez I., Jankovic A., Bäck T.H.W & Raponi E. (2026), Does dimensionality reduction via random projections preserve landscape features?. Trujillo L. & Hu T. (Eds.), GECCO '26: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO '26: Genetic and Evolutionary Computation Conference Centro Internacional de Convenciones CIC-ANDE San Jose Costa Rica 13 July 2026 - 17 July 2026. New York, U.S.A.: Association for Computing Machinery. 919-927.
- Westra J., Olarte Rodriguez I., Stein N. van, Bäck T.H.W. & Raponi E. (2026), Investigating the interplay of parameterization and optimizer in gradient-free topology optimization: a cantilever beam case study. García-Sánchez P., Díaz Álvarez J. & Murphy A. (Eds.), Applications of Evolutionary Computation (EvoApplications 2026). 29th European Conference, EvoApplications 2026 8 April 2026 - 10 July 2026. Lecture Notes in Computer Science no. 16525. Cham: Springer. 473–488.
- Olarte Rodríguez I., Jankovic A., Bäck T.H.W. & Raponi E. (2026), Sampling on random subspaces under limited data in the context of exploratory landscape analysis. Iacca G., Nadizar G., Yaman A., Bucur D., Cioppa A. della, Hu T., Medvet E. & Thomson S.L. (Eds.), Parallel Problem Solving from Nature – PPSN XIX. PPSN 2026. Parallel Problem Solving from Nature – PPSN XIX 29 August 2026 - 3 September 2026. Lecture Notes in Computer Science no. 16985. Cham: Springer . 582-599.
- Raponi E., Olarte Rodriguez I. & Stein N. van (2025), Global sensitivity analysis is not always beneficial for evolutionary computation: a study in engineering design. In: Stein N. van & Kononova A.V. (Eds.), Explainable AI for evolutionary computation. Natural Computing Series. Singapore: Springer. 13-40.
- Olarte Rodriguez I., Serhat G., Bujny M., Duddeck F., Bäck T.H.W. & Raponi E. (2025), Optimization Is not enough: why problem formulation deserves equal attention. 17th International Conference on Evolutionary Computation Theory and Applications (ECTA 2025) 22 October 2025 - 24 October 2025.
- Olarte Rodríguez I., Santoni M.L., Duddeck F., Doerr C., Bäck T.H.W. & Raponi E. (2025), MECHBench: a set of black-box optimization benchmarks originated from structural mechanics. ArXiv e-prints. [working paper].