This paper describes Stage, a learning approach to automatically improving search performance on optimization problems. Stage learns an evaluation function which predicts the outcome of a local search algorithm, such as hillclimbing or Walksat, as a function of state features along its search trajectories. The learned evaluation function is used to bias future search trajectories toward better ...

The culture media optimization is an inevitable part of upstream process development in therapeutic monoclonal antibodies (mAbs) production. The quality by design (QbD) approach defines the assured quality of the final product through the development stage. An important step in QbD is determination of the main quality attributes. During the media optimization, some of the main quality attribute...

In this paper, we propose a set of two-stage robust optimization models to design reliable p-median facility location networks subject to disruptions. A customized column-and-constraint generation approach is implemented and shown to be more effective than Benders cutting plane method. Numerical experiments are performed on real data and management insights on system design are presented. Our s...