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
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;
Conference_Titel :
Information Visualization, 2000. Proceedings. IEEE International Conference on
Conference_Location :
London
Print_ISBN :
0-7695-0743-3
DOI :
10.1109/IV.2000.859752
