arXiv
Open Access
2019
SPSC: a new execution policy for exploring discrete-time stochastic simulations
Yu-Lin Huang
Gildas Morvan
Frédéric Pichon
David Mercier
Abstrak
In this paper, we introduce a new method called SPSC (Simulation, Partitioning, Selection, Cloning) to estimate efficiently the probability of possible solutions in stochastic simulations. This method can be applied to any type of simulation, however it is particularly suitable for multi-agent-based simulations (MABS). Therefore, its performance is evaluated on a well-known MABS and compared to the classical approach, i.e., Monte Carlo.
Penulis (4)
Y
Yu-Lin Huang
G
Gildas Morvan
F
Frédéric Pichon
D
David Mercier
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2019
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓