Doerr Lab

Research focus

ERC Consolidator Grant · 2023

Dynamic Selection and Configuration of Black-box Optimization Algorithms

Black-box optimization algorithms are among the most widely applied optimization techniques in practice, used to solve numerous problems across a broad range of industrial branches and academic disciplines every day. Given this importance, it is not surprising that a plethora of different black-box optimization algorithms exist, complementing each other in strengths and weaknesses. In the dynaBBO project, we set out to obtain more efficient black-box optimization techniques by leveraging this complementarity, both with respect to different problem instances and with respect to different stages of the optimization process. To this end, we will develop approaches that select and dynamically…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.