ACM DL

Modeling and Computer Simulation (TOMACS)

Menu

Search Issue
enter search term and/or author name

Archive


ACM Transactions on Modeling and Computer Simulation (TOMACS), Volume 22 Issue 4, November 2012

Bridging the gap: A standards-based approach to OR/MS distributed simulation
Simon J. E. Taylor, Stephen J. Turner, Steffen Strassburger, Navonil Mustafee
Article No.: 18
DOI: 10.1145/2379810.2379811

In Operations Research and Management Science (OR/MS), Discrete Event Simulation (DES) models are typically created using commercial off-the-shelf simulation packages (CSPs) such as AnyLogic™, Arena™, Flexsim™, Simul8™,...

Stochastic approximation over multidimensional discrete sets with applications to inventory systems and admission control of queueing networks
Eunji Lim
Article No.: 19
DOI: 10.1145/2379810.2379812

We propose new methods to solve simulation optimization problems over multidimensional discrete sets. The proposed methods are based on extending the objective function from a discrete domain to a continuous domain and applying stochastic...

Constructing nearly orthogonal latin hypercubes for any nonsaturated run-variable combination
Alejandro S. Hernandez, Thomas W. Lucas, Matthew Carlyle
Article No.: 20
DOI: 10.1145/2379810.2379813

We present a new method for constructing nearly orthogonal Latin hypercubes that greatly expands their availability to experimenters. Latin hypercube designs have proven useful for exploring complex, high-dimensional computational models, but can...

Transparent optimistic synchronization in the high-level architecture via time-management conversion
Andrea Santoro, Francesco Quaglia
Article No.: 21
DOI: 10.1145/2379810.2379814

Distributed simulation allows the treatment of large/complex models by having several interacting simulators running concurrently, each one in charge of a portion of the model. In order to effectively manage integration and interoperability...

Sharpening comparisons via gaussian copulas and semidefinite programming
Shane G. Henderson, Samuel M. T. Ehrlichman
Article No.: 22
DOI: 10.1145/2379810.2379815

A common problem in operations research involves comparing two system designs through simulation of both systems. The comparison can often be made more accurate through careful control (coupling) of the random numbers that are used in simulating...

Data assimilation using sequential monte carlo methods in wildfire spread simulation
Haidong Xue, Feng Gu, Xiaolin Hu
Article No.: 23
DOI: 10.1145/2379810.2379816

Assimilating real-time sensor data into large-scale spatial-temporal simulations, such as simulations of wildfires, is a promising technique for improving simulation results. This asks for advanced data assimilation methods that can work with the...