Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Агентне програмування цілей× | Програмування цілей× | |
|---|---|---|
| Галузь≠ | Імітаційне моделювання | Прийняття рішень |
| Родина≠ | Process / pipeline | MCDM |
| Рік появи≠ | 1990s-2000s (hybrid integration) | 1955 |
| Автор методу≠ | Charnes, Cooper (GP); Schelling, Holland (ABM foundations) | Charnes, A., Cooper, W. W. |
| Тип≠ | Hybrid simulation-optimization | Multi-objective optimisation — weighted/lexicographic goal deviation minimisation |
| Основоположне джерело≠ | Charnes, A., Cooper, W. W., & Ferguson, R. O. (1955). Optimal estimation of executive compensation by linear programming. Management Science, 1(2), 138-151. DOI ↗ | Charnes, A., Cooper, W. W. (1955). Optimal estimation of executive compensation by linear programming. Management Science DOI ↗ |
| Інші назви≠ | ABGP, Agent-Based GP, ABM-GP, Agent-Driven Goal Programming | — |
| Пов'язані≠ | 5 | 8 |
| Підсумок≠ | 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. | GOAL-PROGRAMMING (Goal Programming — Minimise deviations from multiple aspiration levels) is a ranking multi-criteria decision-making (MCDM) method introduced by Charnes, A., Cooper, W. W. in 1955. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateНабір даних ↗ |
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