نتایج جستجو برای: by employing a discrete event computer simulation methodology

تعداد نتایج: 15053939  

2004
Paul Harmon

There are two general approaches to computer-based statistical modeling that are used by business managers. (In essence, there are two mathematical approaches to creating the underlying "engines" that execute the models.) One approach is referred to as Systems Dynamics and the other is termed Discrete Event Simulation. Either can be effective in analyzing business problems, though as a generali...

Journal: :ACM Transactions on Modeling and Computer Simulation 2015

Journal: :International Research Journal on Advanced Science Hub 2020

Journal: :SIAM Journal on Scientific Computing 2004

Journal: :Intelligent Automation & Soft Computing 2003
Mo M. Jamshidi Shahab Sheikh-Bahaei J. Kitzinger Prasanna Sridhar Scott Beatty Shan Xia Y. Wang Tao Song Umesh Dole J. Liu Edward Tunstel Mohammad R. Akbarzadeh-Totonchi Paolo Lino Aly I. El-Osery Madjid Fathi X. Hu Bernard P. Zeigler

This paper presents a fusion between discrete-event systems specification (DEVS) and intelligent tools from soft computing. DEVS provides a robust and generic environment for modeling and simulation applications employing single workstation, distributed, and real-time platforms. Soft computing is a consortium of tools for natural intelligence stemming from approximate reasoning (fuzzy logic), l...

1991
Benno Overeinder Bob Hertzberger Peter Sloot

In simulating applications for execution on specific computing systems, the simulation performance figures must be known in a short period of time. One basic approach to the problem of reducing the required simulation time is the exploitation of parallelism. However, in parallelizing the simulation new problems arise. Due to the distributed generation of events causality errors can occur, as a ...

J. J. Buckley, K. D. Reilly, L. J. Jowers

In previous studies we first concentrated on utilizing crisp simulationto produce discrete event fuzzy systems simulations. Then we extendedthis research to the simulation of continuous fuzzy systems models. In this paperwe continue our study of continuous fuzzy systems using crisp continuoussimulation. Consider a crisp continuous system whose evolution depends ondifferential equations. Such a ...

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