In this paper, a Decision Support System (DSS) with digital twinning-based resilience
analysis is proposed as a modern tool for port resilience computation and updating. The …

Random search is an important category of algorithms to solve continuous optimization via
simulation problems. To design an efficient random search algorithm, the handling of the …

Traditionally, simulation has been used as a tool of design to estimate, compare and
optimize the performance of different system designs. It is rarely used in making real-time …

We develop a neural network (NN) metamodeller for efficiently approximating the throughput
of different finite-buffer multi-server tandem lines (with varying service rates, number of …

Simulation models are widely used in practice to facilitate decision making in a complex,
dynamic and stochastic environment. But they are computationally expensive to execute and …

Dynamic network loading (DNL) is a core part of simulation-based dynamic traffic
assignment (DTA) models, which describes how traffic propagates on a transportation …

This paper considers a new model of a single server queue subject to two different Bernoulli
catastrophes with service lateness which represents the control duration and the service …

In derivative pricing and hedging, the consistency between the price and Greek surfaces (ie,
the Greek surfaces can be obtained by differentiating the price surface) is important in …

In this paper, the minimization of computational cost on evaluating multidimensional
integrals is explored. More specifically, a method based on an adaptive scheme for error …

This study applied a closed BCMP queueing network to a real-world model, examining the
limitations of the theoretical solution and the possibility of replacing theoretical values with …