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 19 Issue 3, June 2009

Reduction of closed queueing networks for efficient simulation
John F. Shortle, Brian L. Mark, Donald Gross
Article No.: 10
DOI: 10.1145/1540530.1540531

This article gives several methods for approximating a closed queueing network with a smaller one. The objective is to reduce the simulation time of the network. We consider Jackson-like networks with Markovian routing and with general service...

Simulation output analysis using integrated paths II: Low bias estimators
James M. Calvin
Article No.: 11
DOI: 10.1145/1540530.1540532

This article is a sequel to a previous article that introduced a class of variance estimators for steady-state simulation output analysis. The estimators were constructed by applying a quadratic function to a vector obtained from iterated...

Finding probably best systems quickly via simulations
Takayuki Osogami
Article No.: 12
DOI: 10.1145/1540530.1540533

We propose an indifference-zone approach for a ranking and selection problem with the goal of reducing both the number of simulated samples of the performance and the frequency of configuration changes. We prove that with a prespecified high...

Gradient estimation for a class of systems with bulk services: A problem in public transportation
Bernd Heidergott, Felisa J. Vázquez-Abad
Article No.: 13
DOI: 10.1145/1540530.1540534

This article presents a comparison of different gradient estimators for the sensitivity of waiting times in a bulk server system. Inspired by a transportation network, our model is that of a bursty arrival process that waits at a...

The optimizing-simulator: An illustration using the military airlift problem
Tongqiang Tony Wu, Warren B. Powell, Alan Whisman
Article No.: 14
DOI: 10.1145/1540530.1540535

There have been two primary modeling and algorithmic strategies for modeling operational problems in transportation and logistics: simulation, offering tremendous modeling flexibility, and optimization, which offers the intelligence of math...