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برنامه‌ریزی هدف تصادفی×برنامه‌ریزی خطی تصادفی×
حوزهشبیه‌سازیشبیه‌سازی
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش19681955
پدیدآورContini, B. (building on Charnes & Cooper's chance-constrained programming)George B. Dantzig
نوعStochastic multi-goal optimizationStochastic optimization model
منبع بنیادینContini, B. (1968). A stochastic approach to goal programming. Operations Research, 16(3), 576–586. DOI ↗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. link ↗
نام‌های دیگرSGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal ProgrammingSLP, Stochastic LP, Linear Programming under Uncertainty, Two-Stage SLP
مرتبط65
خلاصهStochastic 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.
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ScholarGateمقایسهٔ روش‌ها: Stochastic Goal Programming · Stochastic Linear Programming. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare