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| Lập trình Mục tiêu Ngẫu nhiên× | Lập trình Mục tiêu Mạnh mẽ× | |
|---|---|---|
| Lĩnh vực | Mô phỏng | Mô phỏng |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 1968 | 1961 (GP); 1990s (robust extension) |
| Người khởi xướng≠ | Contini, B. (building on Charnes & Cooper's chance-constrained programming) | Charnes, A. & Cooper, W. W. (goal programming); Mulvey, J. M. et al. (robust optimization framework) |
| Loại≠ | Stochastic multi-goal optimization | Mathematical programming under uncertainty |
| Công trình gốc≠ | Contini, B. (1968). A stochastic approach to goal programming. Operations Research, 16(3), 576–586. DOI ↗ | Charnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. ISBN: 9780471155041 |
| Tên gọi khác | SGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming | RGP, Goal Programming under Uncertainty, Robust GP, Uncertainty-Aware Goal Programming |
| Liên quan≠ | 6 | 5 |
| Tóm tắt≠ | 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. | Robust 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. |
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