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| Προγραμματισμός Στόχων Βασισμένος σε Πράκτορες× | Στοχαστικός Προγραμματισμός Στόχων× | |
|---|---|---|
| Πεδίο | Προσομοίωση | Προσομοίωση |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 1990s-2000s (hybrid integration) | 1968 |
| Δημιουργός≠ | Charnes, Cooper (GP); Schelling, Holland (ABM foundations) | Contini, B. (building on Charnes & Cooper's chance-constrained programming) |
| Τύπος≠ | Hybrid simulation-optimization | Stochastic multi-goal optimization |
| Θεμελιώδης πηγή≠ | 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 ↗ |
| Εναλλακτικές ονομασίες | ABGP, Agent-Based GP, ABM-GP, Agent-Driven Goal Programming | SGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming |
| Συναφείς≠ | 5 | 6 |
| Σύνοψη≠ | 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. |
| ScholarGateΣύνολο δεδομένων ↗ |
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