DocumentCode
2997233
Title
Simulation data mining: a new form of computer simulation output
Author
Brady, Thomas F. ; Yellig, Edward
Author_Institution
Dept. of Eng. Technol., Purdue Univ. North Central, Westville, IN, USA
fYear
2005
fDate
4-7 Dec. 2005
Abstract
The objective of simulation modeling is to gain insight into the dynamics of complex systems. Simulation models of complex systems consist of numerous input variable, linked together by logical relationships. The process of determining the set of input variable values that produce the optima output has often posed the greatest challenge during simulation studies. In recent years, the ability to integrate optimization technology into simulation models has significantly improved this process. To effectively utilize optimization technology, however, modelers must define optimization variables. In this paper, an approach is developed that provides information concerning the interrelationship between input variables used in a simulation model. This information can then be used as the basis for selecting optimization variables.
Keywords
data mining; digital simulation; optimisation; complex system; computer simulation output; data mining simulation; input variable value; optima output; optimization technology; simulation modeling; Computational modeling; Computer simulation; Data mining; Information analysis; Input variables; Logistics; Medical services; Operations research; Optimization methods; Production facilities;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference, 2005 Proceedings of the Winter
Print_ISBN
0-7803-9519-0
Type
conf
DOI
10.1109/WSC.2005.1574262
Filename
1574262
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