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20122022
most citedA Practical Guide to Robust Optimization

644 citations · 955 across the 14 of their papers we have counts for

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5 papers · 1 filter

math.OC2021★ 12 cited

Interior point methods can exploit structure of convex piecewise linear functions with application in radiation therapy

Bram L. Gorissen

Auxiliary variables are often used to model a convex piecewise linear function in the framework of linear optimization. This work shows that such variables yield a block diagonal p…

math.OC2015★ 22 cited

Robust fractional programming

Bram L. Gorissen

We extend Robust Optimization to fractional programming, where both the objective and the constraints contain uncertain parameters. Earlier work did not consider uncertainty in bot…

math.OC2015★ 19 cited

Approximating the Pareto set of multiobjective linear programs via Robust Optimization

Bram L. Gorissen, Dick den Hertog

We consider problems with multiple linear objectives and linear constraints and use Adjustable Robust Optimization and Polynomial Optimization as tools to approximate the Pareto se…

math.OC2015★ 64 cited

Robust counterparts of inequalities containing sums of maxima of linear functions

Bram L. Gorissen, Dick den Hertog

This paper addresses the robust counterparts of optimization problems containing sums of maxima of linear functions. These problems include many practical problems, e.g.~problems w…

math.OC2015★ 644 cited

A Practical Guide to Robust Optimization

Bram L. Gorissen, Ihsan Yanıkoğlu, Dick den Hertog

Robust optimization is a young and active research field that has been mainly developed in the last 15 years. Robust optimization is very useful for practice, since it is tailored…