পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| Stochastic Goal Programming× | বহু-উদ্দেশ্যমূলক লক্ষ্য প্রোগ্রামিং× | |
|---|---|---|
| ক্ষেত্র | অনুকরণ | অনুকরণ |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1968 | 1961 |
| প্রবর্তক≠ | Contini, B. (building on Charnes & Cooper's chance-constrained programming) | Charnes, A. and Cooper, W. W. |
| ধরন≠ | Stochastic multi-goal optimization | Mathematical programming / multi-criteria optimization |
| মৌলিক উৎস≠ | 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: 978-0471148258 |
| অপর নাম | SGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming | MOGP, Multi-goal programming, Vector goal programming, Multi-criteria goal programming |
| সম্পর্কিত≠ | 6 | 4 |
| সারসংক্ষেপ≠ | 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. | Multi-Objective Goal Programming (MOGP) is a mathematical programming technique that simultaneously pursues several aspirational targets by minimizing weighted deviations from each goal. Rooted in Charnes and Cooper's original goal programming framework (1961), MOGP extends it to handle multiple competing objectives, making it indispensable in operations research, supply chain design, resource allocation, and policy analysis where decision-makers must satisfy — or come close to — multiple conflicting requirements at once. |
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