Advanced Multi-Objective Optimization Algorithms

This paper introduces EvoMOBO, a multi-objective Bayesian optimization framework for protein engineering, showing improved performance in enzyme tasks compared to wild-type variants.

The paper introduces a multi-objective Bayesian optimization method that adaptively updates scalarization functions for biomedical data analysis workflows, demonstrating it on single-cell RNA sequencing and imaging data.