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Optimizimi Robust me Shumë Objekte×Analiza e ndjeshmërisë×
FushaSimulimiVendimmarrja
FamiljaProcess / pipelineMCDM
Viti i origjinës20062004
KrijuesiDeb, K. & Gupta, H.Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M.
LlojiOptimization frameworkRobustness wrapper — parameter / weight perturbation sensitivity indices
Burimi themeluesDeb, K., & Gupta, H. (2006). Introducing robustness in multi-objective optimization. Evolutionary Computation, 14(4), 463–494. DOI ↗Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI ↗
Emërtime të tjeraRMOO, Robust MOO, Robust Pareto Optimization, Uncertainty-Robust Multi-Objective Optimization
Të lidhura40
PërmbledhjaRobust 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.SENSITIVITY-ANALYSIS (Sensitivity Analysis — Systematic assessment of output variation w.r.t. input perturbations) is a ranking multi-criteria decision-making (MCDM) method introduced by Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. in 2004. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateKrahasoni metodat: Robust Multi-Objective Optimization · SENSITIVITY-ANALYSIS. Marrë më 2026-06-15 nga https://scholargate.app/sq/compare