Call for abstracts

Submissions are now closed. The workshop will feature three invited speakers — see the Programme page for details. We look forward to seeing you at the workshop in Trento!

We invited authors/participants to submit new ideas, positional statements, and reviews/summaries/comments/techniques on Bayesian and surrogate-assisted search and optimisation.

Topics of interest

Bayesian optimisation.
Advanced machine learning techniques for constructing surrogates
Model management in surrogate-assisted optimisation
Multi-level, multi-fidelity surrogates
Complexity and efficiency of surrogate-assisted methods
Small and big data-driven evolutionary optimisation
Model approximation in dynamic, robust and multi-modal optimisation
Model approximation in multi- and many-objective optimisation
Surrogate-assisted evolutionary optimisation of high-dimensional problems
Comparison of different modelling methods in surrogate construction
Surrogate-assisted identification of the feasible region
Comparison of evolutionary and non-evolutionary approaches with surrogate models
Test problems for surrogate-assisted evolutionary optimisation
Performance improvement techniques in surrogate-assisted evolutionary computation
Performance assessment of surrogate-assisted evolutionary algorithms

NOTE - Submissions will not be published in the conference proceedings unless already accepted through the conference submission process.