NDLI: Evaluation of multi-objective optimizers for cognitive radio using psychometric methods: Analysis using unidimensional and multidimensional Rasch models

Content Provider	IEEE Xplore Digital Library
Author	Dietrich, C.B. Wolfe, E.W. Vanhoy, G.M.
Copyright Year	2012
Description	Author affiliation: Univ. of Arizona, Tucson, AZ, USA (Vanhoy, G.M.) \|\| Pearson Iowa City, Iowa City, IA, USA (Wolfe, E.W.) \|\| Bradley Dept. of Electr. & Comput. Eng., Wireless @ Virginia Tech, Blacksburg, VA, USA (Dietrich, C.B.)
Abstract	Item response models (IRMs) developed for use in fields such as education and psychology are applicable to cognitive radio testing due to parallels between cognitive radio and human cognition appear likely to enable efficient, and possibly adaptive testing of cognitive radios. A simulation study used unidimensional and multidimensional item response models to evaluate multi-objective cognitive engine optimizers based on two types of optimization algorithm: genetic algorithms and generalized pattern search. Data are presented in the context of cognitive radio and data are presented in a format that enables visualization of some characteristics of test items (optimization tasks) and optimizer performance identified by the IRMs. While the visualization provides intuitive confirmation of the IRM results, the IRMs identified additional significant effects that are not readily visible.
Starting Page	326
Ending Page	331
File Size	278155
Page Count	6
File Format	PDF
ISBN	9781467329767
ISSN	21665419
e-ISBN	9781936968558
DOI	10.4108/icst.crowncom.2012.248438
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-18
Publisher Place	Sweden
Access Restriction	Subscribed
Rights Holder	ICST
Subject Keyword	item response methods Adaptation models psychometric Correlation Rasch measurement cognitive radio Modulation Cost function Cognitive radio Engines Testing
Content Type	Text
Resource Type	Article

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