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Stability and Robustness: Reliability in the World of Uncertainty

Stability and Robustness: Reliability in the World of Uncertainty

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Outl<strong>in</strong>eThe <strong>World</strong> <strong>of</strong> Uncerta<strong>in</strong>tyRobust Optimization<strong>Stability</strong> AnalysisConclusionMeasur<strong>in</strong>g deviation from <strong>the</strong> optimumRelative ErrorFor t 0 ∈ P m (C 0 ) <strong>and</strong> C ∈ R m×n+ , we <strong>in</strong>troduced a so-called relativeerror <strong>of</strong> t 0 :ε P (C, t 0 ) = maxt∈TTransformation <strong>in</strong> scalar casem<strong>in</strong> f i (C, t 0 ) − f i (C, t).i∈N m f i (C, t)In <strong>the</strong> scalar case, i.e. for m=1, <strong>the</strong> Pareto set transforms <strong>in</strong>to <strong>the</strong> set<strong>of</strong> optimal solutions. Therefore <strong>the</strong> relative error ε P (C, t 0 ) converts<strong>in</strong>to:f 1 (C, t 0 ) − m<strong>in</strong> f 1(C, t)t∈Tε P (C, t 0 ) =m<strong>in</strong> f 1(C, t)t∈T.Yury Nikul<strong>in</strong><strong>Stability</strong> <strong>and</strong> <strong>Robustness</strong>: <strong>Reliability</strong> <strong>in</strong> <strong>the</strong> <strong>World</strong> <strong>of</strong> Uncerta<strong>in</strong>ty

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