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البرمجة الخطية المتينة×البرمجة الخطية الحتمية×
المجالالمحاكاةالمحاكاة
العائلةProcess / pipelineProcess / pipeline
سنة النشأة1999–20041947
صاحب الطريقةBen-Tal, A. and Nemirovski, A.; further developed by Bertsimas, D. and Sim, M.George B. Dantzig
النوعUncertainty-robust linear optimizationDeterministic mathematical optimization
المصدر التأسيسيBertsimas, D., Sim, M. (2004). The price of robustness. Operations Research, 52(1), 35–53. DOI ↗Dantzig, G. B. (1963). Linear Programming and Extensions. Princeton University Press, Princeton, NJ. ISBN: 9780691059136
الأسماء البديلةRLP, Robust LP, Tractable Robust LP, Uncertainty-Set LPClassical LP, Deterministic LP, DLP, Linear Optimization
ذات صلة55
الملخصRobust Linear Programming (RLP) extends classical linear programming to handle uncertainty in problem data — cost coefficients, constraint coefficients, or right-hand sides — by requiring solutions to remain feasible and near-optimal across all realizations of uncertain parameters within a defined uncertainty set. It replaces probabilistic assumptions with worst-case guarantees, making it practical when distributional knowledge is limited.Deterministic Linear Programming (DLP) is the classical form of linear programming in which all objective function coefficients, constraint coefficients, and right-hand-side values are known with certainty. It finds the optimal allocation of resources to maximize or minimize a linear objective subject to linear constraints, providing an exact, reproducible solution under fixed, certain data.
ScholarGateمجموعة البيانات
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  1. v1
  2. 2 المصادر
  3. PUBLISHED

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ScholarGateقارن الطرق: Robust Linear Programming · Deterministic Linear Programming. استُرجع بتاريخ 2026-06-15 من https://scholargate.app/ar/compare