  Performing optimization with event-based asynchronous neuromorphic systems
presents significant challenges. Intel's neuromorphic computing framework,
Lava, offers an abstract application programming interface designed for
constructing event-based computational graphs. In this study, we introduce a
novel framework tailored for asynchronous Bayesian optimization that is also
compatible with Loihi 2. We showcase the capability of our asynchronous
optimization framework by connecting it with a graph-based satellite scheduling
problem running on physical Loihi 2 hardware.
