Uporedite metode
Pregledajte izabrane metode jednu pored druge; redovi koji se razlikuju su istaknuti.
| Agentna simulacija redova čekanja× | Simulacija Monte Karlo× | |
|---|---|---|
| Oblast≠ | Simulacija | Donošenje odluka |
| Porodica≠ | Process / pipeline | MCDM |
| Godina nastanka≠ | 2000s | 1949 |
| Tvorac≠ | Macal, C. M. & North, M. J. (hybrid formalization); queueing theory rooted in Erlang (1909) | Metropolis, N., Ulam, S. |
| Tip≠ | Hybrid simulation — agent-based + queueing | Robustness wrapper — Monte Carlo uncertainty propagation |
| Temeljni izvor≠ | Macal, C. M., & North, M. J. (2010). Tutorial on agent-based modelling and simulation. Journal of Simulation, 4(3), 151–162. DOI ↗ | Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗ |
| Drugi nazivi≠ | AB-QS, Agent-Based Queue Simulation, ABM Queueing, Agent Queue Simulation | — |
| Srodne≠ | 5 | 0 |
| Sažetak≠ | Agent-Based Queueing Simulation (AB-QS) combines agent-based modeling with queueing theory to simulate systems where autonomous, decision-making entities interact through waiting lines and service points. Each entity (patient, customer, job) is modeled as an independent agent with its own state and behavioral rules, enabling richer, more realistic dynamics than classical queueing models alone. | MONTE-CARLO-SIMULATION (Monte Carlo Simulation — Stochastic uncertainty propagation through MCDM model) is a ranking multi-criteria decision-making (MCDM) method introduced by Metropolis, N., Ulam, S. in 1949. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateSkup podataka ↗ |
|
|