Scott A. Malcolm, Stavros A. Zenios, Robust Optimization for Power Systems Capacity Expansion under Uncertainty, The Journal of the Operational Research Society, Vol ...

In this paper, we propose a framework for robust optimization that relaxes the standard notion of robustness by allowing the decision maker to vary the protection level in a smooth way across the ...

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 ...

In this paper we focus on a linear optimization problem with uncertainties, having expectations in the objective and in the set of constraints. We present a modular framework to obtain an approximate ...

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 ...

Robust portfolios converge towards mean-variance portfolios at low uncertainty of asset returns. Robust portfolios converge towards risk-based portfolios at high uncertainty of asset returns. At ...

Alongside robust optimization, an additional guarantee is explored by investing in currency options in order to cover the possibility that foreign exchange rates will materialize outside the specified ...

It uses the SOM to cluster policies, discover salient characteristics, and assess cause-effect relationships between decision-maker choices (i.e. decision variable values) and performance (objective ...