مقایسهٔ روشها
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| تحلیل سناریوی قوی× | بهینهسازی چندهدفه استوار× | |
|---|---|---|
| حوزه | شبیهسازی | شبیهسازی |
| خانواده | Process / pipeline | Process / pipeline |
| سال پیدایش≠ | 1950 (foundations); 2003 (modern RDM formulation) | 2006 |
| پدیدآور≠ | Wald, A. (minimax foundation); Lempert et al. (RDM framework) | Deb, K. & Gupta, H. |
| نوع≠ | Scenario-based robustness evaluation | Optimization framework |
| منبع بنیادین≠ | Wald, A. (1950). Statistical Decision Functions. Wiley, New York. link ↗ | Deb, K., & Gupta, H. (2006). Introducing robustness in multi-objective optimization. Evolutionary Computation, 14(4), 463–494. DOI ↗ |
| نامهای دیگر | RSA, Robust Scenario Planning, Worst-Case Scenario Analysis, Minimax Regret Scenario Analysis | RMOO, Robust MOO, Robust Pareto Optimization, Uncertainty-Robust Multi-Objective Optimization |
| مرتبط≠ | 5 | 4 |
| خلاصه≠ | Robust Scenario Analysis evaluates a set of candidate strategies across a structured collection of plausible future scenarios and selects the strategy that performs acceptably well — or best in the worst case — regardless of which scenario materializes. It merges scenario planning with robustness criteria such as maximin, minimax regret, or satisficing to support decisions under deep, irreducible uncertainty. | Robust Multi-Objective Optimization (RMOO) is a framework for finding solutions that simultaneously optimize multiple conflicting objectives while remaining insensitive to perturbations in decision variables or problem parameters. Unlike classical MOO, RMOO explicitly incorporates uncertainty into the optimization loop, producing a robust Pareto front whose members perform well not only at the nominal design point but also across a neighbourhood of plausible operating conditions. |
| ScholarGateمجموعهداده ↗ |
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