Learn how to apply robust linear programming, a method that handles uncertainty and variability ... RLP then solves a modified linear program that minimizes the worst-case objective value over ...

Robust optimization of intensity-modulated proton therapy (IMPT) takes uncertainties into account during spot weight optimization and leads to dose distributions that are resilient to uncertainties.

In this correspondence, a novel robust adaptive beamformer is proposed based on the worst-case semi-definite programming (SDP). A recent paper has reported that ...

A novel robust linear receiver with worst-case probability guarantee is proposed in this correspondence. Based on multivariate Chebyshev inequality, deterministic expressions of the probabilistic ...

When choosing the best uncertainty set for robust linear programming, there is no one-size-fits-all answer. Consider the availability and quality of data, the complexity and tractability of the ...

This paper addresses the uncertainty problem in process scheduling using robust optimization. Compared to the traditional-scenario-based stochastic programming method, robust counterpart optimization ...

However, most of these existing results on the worst-case values of risk measures of a loss variable cannot be applied directly to the worst-case values of risk measures of its transforms. In this ...