विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| एजेंट-आधारित लक्ष्य प्रोग्रामिंग× | स्टोकेस्टिक गोल प्रोग्रामिंग× | |
|---|---|---|
| क्षेत्र | अनुकरण | अनुकरण |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1990s-2000s (hybrid integration) | 1968 |
| प्रवर्तक≠ | Charnes, Cooper (GP); Schelling, Holland (ABM foundations) | Contini, B. (building on Charnes & Cooper's chance-constrained programming) |
| प्रकार≠ | Hybrid simulation-optimization | Stochastic multi-goal optimization |
| मौलिक स्रोत≠ | Charnes, A., Cooper, W. W., & Ferguson, R. O. (1955). Optimal estimation of executive compensation by linear programming. Management Science, 1(2), 138-151. DOI ↗ | Contini, B. (1968). A stochastic approach to goal programming. Operations Research, 16(3), 576–586. DOI ↗ |
| उपनाम | ABGP, Agent-Based GP, ABM-GP, Agent-Driven Goal Programming | SGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming |
| संबंधित≠ | 5 | 6 |
| सारांश≠ | Agent-Based Goal Programming (ABGP) integrates agent-based simulation with goal programming optimization to model systems where multiple autonomous decision-makers pursue competing, prioritized goals. It enables researchers to study how decentralized, adaptive behavior at the agent level leads to system-level outcomes measured against predefined targets, capturing both emergence and multi-criteria satisfaction simultaneously. | 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. |
| ScholarGateडेटासेट ↗ |
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