Computer-aided engineering (CAE) is now an essential instrument that aids in engineering
decision-making. Statistical model calibration and validation has recently drawn great …

Ship** is a major contributor to the global CO 2 emissions. It is important to improve the
ship energy efficiency and reduce the ship emissions. Various emission reduction measures …

Abstract A Memetic Algorithm (MA) for the calibration of microscopic traffic flow simulation
models is proposed in this study. The proposed MA includes a combination of genetic and …

In a number of cases, the quantile Gaussian process has proven effective in emulating
stochastic, univariate computer model output [M. Plumlee and R. Tuo, Technometrics, 56 …

Parameter calibration in wake effect simulation model with stochastic gradient descent and
stratified sampling Page 1 The Annals of Applied Statistics 2022, Vol. 16, No. 3, 1795–1821 …

Efforts to address operational issues in transportation have been the focus of many research
efforts. A number of these efforts were geared toward develo** microscopic traffic …

Crowd modeling and simulation is an important and active research field, with a wide range
of applications such as computer games, military training and evacuation modeling. One …

A large number of mitigation strategies including both technical and operational measures
have been proposed to reduce ship energy consumption and hence carbon emissions …

Calibrating simulation models that take large quantities of multi-dimensional data as input is
a hard simulation optimization problem. Existing adaptive sampling strategies offer a …

In the past decade, various opinion dynamics models have been built to depict the
evolutionary mechanism of opinions and use them to predict trends in public opinion …