Data analysis and visualisation of Cluster-Oriented Genetic Algorithm output

Simple statistical techniques are investigated to support Cluster-Oriented Genetic Algorithm processes. In a real world application this analysis improves efficiency by reducing effort relating to exploration of multiple visual representations. The preliminary results suggest that the designer can e...

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Bibliographic Details
Published in2000 IEEE Conference on Information Visualization. An International Conference on Computer Visualization and Graphics pp. 173 - 178
Main Authors Packham, I.S.J., Parmee, I.C.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2000
Subjects
Data analysis
Data mining
Data visualization
Design engineering
Displays
Genetic algorithms
Genetic mutations
Information filtering
Information filters
Programmable logic arrays
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Summary:Simple statistical techniques are investigated to support Cluster-Oriented Genetic Algorithm processes. In a real world application this analysis improves efficiency by reducing effort relating to exploration of multiple visual representations. The preliminary results suggest that the designer can easily be guided rewards interesting areas of high performance regions by viewing the most appropriate two- and three-dimensional plots.
ISBN:0769507433
9780769507439
ISSN:1093-9547
DOI:10.1109/IV.2000.859752