We are interested in computing tail probabilities for the maxima of Gaussian random fields. In this paper, we discuss two special cases: random fields defined over a finite number...
Wildfire propagation is a complex process influenced by many factors. Simulation models of wildfire spread, such as DEVS-FIRE, are important tools for studying fire behavior. This...
Testing and benchmarking of stream processing systems requires workload representative of real world scenarios with myriad of users, interacting through different applications ove...
Eric Bouillet, Parijat Dube, David George, Zhen Li...
This paper discusses information fusion methodologies, selection of one of these methodologies, and application of these fusion methodologies to underwater sonar simulation. Bayes...
Yanshen Zhu, Maria Bull, Haluk M. Akin, José...
Continuous-variable simulation optimization problems are those optimization problems where the objective function is computed through stochastic simulation and the decision variab...
Queueing theory is a well-known method for evaluating the performance of manufacturing systems. When we want to analyze the performance of a single machine, M/M/1 queues or approx...
In this paper, we describe an objective-based Data Farming approach for red teaming called Automated Red Teaming (ART). The main idea is to develop an ART framework using Evolutio...
Ching Lian Chua, Wee Chung Sim, Chwee Seng Choo, V...
Demand disturbances in service businesses are typically managed by resource actions such as hiring, releasing and cross training of the workforce. The magnitudes of resource actio...
We extend the basic theory of kriging, as applied to the design and analysis of deterministic computer experiments, to the stochastic simulation setting. Our goal is to provide fl...