Krahasoni metodat

	Programimi Stokastik i Qëllimeve	Optimizimi Stokastik me shumë objektivë
Fusha	Simulimi	Simulimi
Familja	Process / pipeline	Process / pipeline
Viti i origjinës	1968	1990s–2000s
Krijuesi	Contini, B. (building on Charnes & Cooper's chance-constrained programming)	Various (Fonseca, Fleming, Deb, Zitzler, and others)
Lloji	Stochastic multi-goal optimization	Stochastic metaheuristic optimization
Burimi themelues	Contini, B. (1968). A stochastic approach to goal programming. Operations Research, 16(3), 576–586.	Deb, K. (2001). Multi-Objective Optimization Using Evolutionary Algorithms. Wiley, Chichester. ISBN: 9780471873396
Emërtime të tjera	SGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming	SMOO, Stochastic MOO, Multi-objective optimization under uncertainty, Robust multi-objective optimization
Të lidhura	6	5
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 Multi-Objective Optimization (SMOO) is a class of methods that simultaneously optimizes two or more conflicting objectives when parameters, costs, or constraints are uncertain or random. Rather than a single optimal solution, it produces a Pareto front of non-dominated solutions, each representing a different balance among objectives under the modeled uncertainty.