We show that some of these features seems very well-fitted for the discrimination of the problems and quite robust whereas others lack robustness and/or.

In this paper, we study these three aspects: the robustness against the random sampling, the influence of the number of sample points, and the expressiveness in ...

We show that some of these features seems very well-fitted for the discrimination of the problems and quite robust whereas others lack robustness and/or ...

We show that some of these features seems very well-fitted for the discrimination of the problems and quite robust whereas others lack robustness and/or ...

Expressiveness and robustness of landscape features · List of references · Publications that cite this publication.

Expressiveness and robustness of landscape features. Q Renau, J Dreo, C Doerr, B Doerr. Proceedings of the Genetic and Evolutionary Computation Conference ...

Aug 20, 2024 · Expressiveness and robustness of landscape features. In Genetic and Evolutionary Computation Conference Companion, 2019. Renau et al. [2020] ...

We propose DoE2Vec, a variational autoencoder (VAE)-based methodology to learn optimization landscape characteristics for downstream meta-learning tasks,.

Expressiveness and robustness of landscape features. Conference Paper. Jul 2019. Quentin Renau · Johann Dreo · Carola Doerr ...

This extended abstract focuses on surrogate model selection task in multiple dimensions and discusses robustness of several classes of features against samples.