Simulation-based robust and adaptive optimization method for heteroscedastic transportation problems
Year of publication: |
2024
|
---|---|
Authors: | Gu, Ziyuan ; Li, Yifan ; Saberi, Meead ; Liu, Zhiyuan |
Subject: | Bayesian inference | computational resources allocation | heteroscedasticity | robust design | simulation-based optimization | Simulation | Mathematische Optimierung | Mathematical programming | Robustes Verfahren | Robust statistics | Heteroskedastizität | Heteroscedasticity | Bayes-Statistik | Schätztheorie | Estimation theory | Allokation | Allocation | Monte-Carlo-Simulation | Monte Carlo simulation |
-
Robustness properties of minimally-supported Bayesian D-optimal designs for heteroscedastic models
Dette, Holger, (2001)
-
Mathematical modelling of a robust inspection process plan : Taguchi and Monte Carlo methods
Mohammadi, Mehrdad, (2015)
-
Robust optimization based on the propagation of variance method for analytic design models
Picheral, Laura, (2014)
- More ...
-
Saberi, Meead, (2014)
-
A complex network methodology for travel demand model evaluation and validation
Saberi, Meead, (2018)
-
Vaccine allocation policy optimization and budget sharing mechanism using reinforcement learning
Rey, David, (2023)
- More ...