UFO: Uncertainty Feature Optimization, an Implicit Paradigm for Problems with Noisy Data

In this work, we present a new framework to cope with problems due to uncertainty. We consider the uncertainty implicitly with helps of Uncertainty Feature Optimization (UFO), i.e. we transform the initial problem to a multi-objective problem. The aim is to increase structural properties of a solution that are known to improve it's robustness or it's recoverability.


Presented at:
CTW 2008, EPFL TRANSP-OR, Gargnano, Italy, May 14, 2008
Year:
2008
Laboratories:




 Record created 2009-06-15, last modified 2018-09-13

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