Some Black-box Reductions for Objective-robust Discrete Optimization Problems Based on their LP-Relaxations

Khaled Elbassioni

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arXiv · 1907.06786

Some Black-box Reductions for Objective-robust Discrete Optimization Problems Based on their LP-Relaxations

Khaled Elbassioni

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Abstract

We consider robust discrete minimization problems where uncertainty is defined by a convex set in the objective. We show how an integrality gap verifier for the linear programming relaxation of the non-robust version of the problem can be used to derive approximation algorithms for the robust version.

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Khaled Elbassioni. 2019-07-15. Some Black-box Reductions for Objective-robust Discrete Optimization Problems Based on their LP-Relaxations. https://arxiv.org/abs/1907.06786

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