Modeling and Computer Simulation (TOMACS)


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ACM Transactions on Modeling and Computer Simulation (TOMACS), Volume 16 Issue 4, October 2006

Replicated batch means variance estimators in the presence of an initial transient
Christos Alexopoulos, Sigrún Andradóttir, Nilay Tanik Argon, David Goldsman
Pages: 317-328
DOI: 10.1145/1176249.1176250
Independent replications (IR) and batch means (BM) are two of the most widely used variance-estimation methods for simulation output analysis. Alexopoulos and Goldsman conducted a thorough examination of IR and BM; and Andradóttir and Argon...

Improving scalability of wireless network simulation with bounded inaccuracies
Zhengrong Ji, Junlan Zhou, Mineo Takai, Rajive Bagrodia
Pages: 329-356
DOI: 10.1145/1176249.1176251
Discrete event network simulators have emerged as popular tools for verification and performance evaluation of wireless networks. Nevertheless, the desire to model such networks at high fidelity implies high computational costs, limiting most...

Simulation optimization with countably infinite feasible regions: Efficiency and convergence
Sigrún Andradóttir
Pages: 357-374
DOI: 10.1145/1176249.1176252
This article is concerned with proving the almost sure and global convergence of a broad class of algorithms for solving simulation optimization problems with countably infinite number of feasible points. We first describe the class of simulation...

A fuzzy set theoretic approach to validate simulation models
Jurgen Martens, Ferdi Put, Etienne Kerre
Pages: 375-398
DOI: 10.1145/1176249.1176253
We develop a new approach to the validation of simulation models by exploiting elements from fuzzy set theory and machine learning. A fuzzy resemblance relation concept is used to set up a mathematical framework for measuring the degree of similarity...