เปรียบเทียบวิธี

	การตั้งโปรแกรมเป้าหมายเชิงสุ่ม	การโปรแกรมเชิงเส้นเชิงสุ่ม
สาขาวิชา	การจำลอง	การจำลอง
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1968	1955
ผู้ริเริ่ม	Contini, B. (building on Charnes & Cooper's chance-constrained programming)	George B. Dantzig
ประเภท	Stochastic multi-goal optimization	Stochastic optimization model
แหล่งต้นตำรับ	Contini, B. (1968). A stochastic approach to goal programming. Operations Research, 16(3), 576–586.	Dantzig, G. B., & Madansky, A. (1961). On the solution of two-stage linear programs under uncertainty. Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, 1, 165–176.
ชื่อเรียกอื่น	SGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming	SLP, Stochastic LP, Linear Programming under Uncertainty, Two-Stage SLP
ที่เกี่ยวข้อง	6	5
สรุป	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 Linear Programming (SLP) extends classical linear programming to settings where some model parameters — costs, demands, resource availability — are uncertain and modeled as random variables. By optimizing expected costs over a probability distribution of scenarios, SLP produces decisions that remain feasible and near-optimal across a range of possible futures rather than for a single assumed state of the world.