DocumentCode
352630
Title
Data analysis and visualisation of Cluster-Oriented Genetic Algorithm output
Author
Packham, I.S.J. ; Parmee, I.C.
Author_Institution
Eng. Design Centre, Plymouth Univ., UK
fYear
2000
fDate
2000
Firstpage
173
Lastpage
178
Abstract
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
Keywords
CAD; data analysis; data visualisation; engineering graphics; genetic algorithms; Cluster-Oriented Genetic Algorithm output; Cluster-Oriented Genetic Algorithm processes; data analysis; high performance regions; multiple visual representations; real world application; statistical techniques; three-dimensional plots; visualisation; Data analysis; Data mining; Data visualization; Design engineering; Displays; Genetic algorithms; Genetic mutations; Information filtering; Information filters; Programmable logic arrays;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Visualization, 2000. Proceedings. IEEE International Conference on
Conference_Location
London
ISSN
1093-9547
Print_ISBN
0-7695-0743-3
Type
conf
DOI
10.1109/IV.2000.859752
Filename
859752
Link To Document