Robust dynamic optimization has become an indispensable tool in addressing the inherent uncertainties present in chemical process modelling and control. By integrating optimisation routines with ...

Optimization under uncertainty typically requires a probability distribution of the uncertain parameters and/or variables. While this approach has successfully solved many problems, its success is ...

Saudi scientists created a new deep learning technique based on distributionally robust optimization (DRO) to identify the most suitable locations for utility scale wind and solar power projects. They ...