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Robust Optimization/Evidence
Method evidence record

Robust Optimization

Robust optimization is a mathematical programming framework, formalised by Ben-Tal and Nemirovski in the late 1990s and made broadly tractable by Bertsimas and Sim (2004), that finds decisions guaranteed to perform acceptably under every scenario within a predefined uncertainty set — rather than assuming parameter values are known exactly. Instead of optimising for a single expected outcome, it minimises the worst-case objective across all plausible realisations of uncertain data.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Robust Optimization (Minimax Programming)
Taxonomic method record · process-pipeline / optimization
  • Ben-Tal, A., El Ghaoui, L. & Nemirovski, A. (2009). Robust Optimization. Princeton University Press. · ISBN 9780691143682
  • Bertsimas, D. & Sim, M. (2004). The Price of Robustness. Operations Research, 52(1), 35-53. · DOI 10.1287/opre.1030.0065
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyConvex Optimizationmachine-suggested · Relational suggestion, not evidence.Same method familyEvolutionary Strategymachine-suggested · Relational suggestion, not evidence.Same method familyLinear Programmingmachine-suggested · Relational suggestion, not evidence.Same method familyStochastic Optimizationmachine-suggested · Relational suggestion, not evidence.Same method familySurrogate-Based Optimizationmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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