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Robust Goal Programming×Zielprogrammierung×
FachgebietSimulationEntscheidungsfindung
FamilieProcess / pipelineMCDM
Entstehungsjahr1961 (GP); 1990s (robust extension)1955
UrheberCharnes, A. & Cooper, W. W. (goal programming); Mulvey, J. M. et al. (robust optimization framework)Charnes, A., Cooper, W. W.
TypMathematical programming under uncertaintyMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
Wegweisende QuelleCharnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. ISBN: 9780471155041Charnes, A., Cooper, W. W. (1955). Optimal estimation of executive compensation by linear programming. Management Science DOI ↗
AliasnamenRGP, Goal Programming under Uncertainty, Robust GP, Uncertainty-Aware Goal Programming
Verwandt58
ZusammenfassungRobust Goal Programming (RGP) extends classical goal programming to handle uncertain or ambiguous model parameters. Instead of minimizing deviations from crisp targets, it seeks solutions that remain feasible and near-optimal across a range of plausible scenarios or uncertain data realizations. RGP is particularly valuable in planning problems where goals are aspirational and input data carries inherent variability or estimation error.GOAL-PROGRAMMING (Goal Programming — Minimise deviations from multiple aspiration levels) is a ranking multi-criteria decision-making (MCDM) method introduced by Charnes, A., Cooper, W. W. in 1955. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateMethoden vergleichen: Robust goal programming · GOAL-PROGRAMMING. Abgerufen am 2026-06-15 von https://scholargate.app/de/compare