Krahasoni metodat

	Programimi Stokastik i Qëllimeve	Programimi Stokastik me Numra të Plotë
Fusha	Simulimi	Simulimi
Familja	Process / pipeline	Process / pipeline
Viti i origjinës	1968	1955
Krijuesi	Contini, B. (building on Charnes & Cooper's chance-constrained programming)	Dantzig, G. B.; Beale, E. M. L.
Lloji	Stochastic multi-goal optimization	Optimization under uncertainty with discrete decisions
Burimi themelues	Contini, B. (1968). A stochastic approach to goal programming. Operations Research, 16(3), 576–586.	Birge, J. R., & Louveaux, F. (1997). Introduction to Stochastic Programming. Springer, New York. ISBN: 978-1-4614-0237-4
Emërtime të tjera	SGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming	SIP, Stochastic IP, Integer Stochastic Programming, Mixed-Integer Stochastic Programming
Të lidhura	6	6
Përmbledhja	Stochastic Goal Programming (SGP) extends classical goal programming to handle uncertainty in goal targets, constraint coefficients, or right-hand-side parameters. By incorporating probabilistic constraints and stochastic objective components, it finds solutions that satisfy multiple goals at acceptable probability levels, making it suitable for decision problems where data are inherently uncertain or variable.	Stochastic Integer Programming (SIP) is an optimization framework that combines integer (discrete) decision variables with explicit probabilistic modeling of uncertainty. It seeks the best here-and-now decision that minimizes expected cost (or maximizes expected benefit) across a distribution of future scenarios, accounting for the fact that some decisions must be made before uncertainty is resolved.