השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| תכנות מטרות מבוסס סוכנים× | תכנון מטרות סטוכסטי – אופטימיזציה של מטרות מרובות תחת אי-ודאות× | |
|---|---|---|
| תחום | סימולציה | סימולציה |
| משפחה | Process / pipeline | Process / pipeline |
| שנת המקור≠ | 1990s-2000s (hybrid integration) | 1968 |
| הוגה השיטה≠ | Charnes, Cooper (GP); Schelling, Holland (ABM foundations) | Contini, B. (building on Charnes & Cooper's chance-constrained programming) |
| סוג≠ | Hybrid simulation-optimization | Stochastic multi-goal optimization |
| מקור מכונן≠ | 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 ↗ |
| כינויים | ABGP, Agent-Based GP, ABM-GP, Agent-Driven Goal Programming | SGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming |
| קשורות≠ | 5 | 6 |
| תקציר≠ | 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. |
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