What is robust design optimization (RDO), and is it better than standard optimization? In this customer case, we describe a multi-disciplinary optimization of a turbocharger compressor from Ford Motor ...

The portfolio optimization model has limited impact in practice because of estimation issues when applied to real data. To address this, we adapt two machine learning methods, regularization and cross ...

Bonham, N., Kasprzyk, J. and Zagona, E. (2022). "post-MORDM: Mapping Policies to Synthesize Optimization and Robustness Results for Decision-maker Compromise ...

We prove that the portfolio problem with transaction costs is equivalent to three different problems designed to alleviate the impact of estimation error: a robust portfolio optimization problem, a ...

This paper introduces post-MORDM, a decision-support framework that augments Many Objective Robust Decision Making (MORDM). MORDM often creates an intractable number of environmental management ...

Recently, a research team at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences (CAS) proposed a novel model optimization algorithm named External Calibration-Assisted ...

Accurate and timely analytics are essential to successful development and manufacturing of biopharmaceutical products, whether they are small-molecule drugs, recombinant proteins or antibodies, or ...