DocumentCode :
809384
Title :
Visualization of optimal solutions using self-organizing maps in computational electromagnetism
Author :
Igarashi, Hajime
Author_Institution :
Graduate Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan
Volume :
41
Issue :
5
fYear :
2005
fDate :
5/1/2005 12:00:00 AM
Firstpage :
1816
Lastpage :
1819
Abstract :
In this paper, the self-organizing map is applied for visualization and clustering of optimal solutions in parameter spaces. The present method is tested for the simplified version of De Jong´s function and TEAM workshop problem 22. It is shown that the present method successfully visualizes the distribution of optimal solutions, and allows us to classify the optimal solutions into clusters. Moreover, the optimal regions which include clustered optimal solutions in the parameter space can be obtained by the present method.
Keywords :
computational electromagnetics; data visualisation; self-organising feature maps; De Jong function; TEAM workshop problem 22; clustered optimal solutions; computational electromagnetism; genetic algorithm; parameter space; self-organizing maps; Clustering algorithms; Conferences; Genetic algorithms; Information science; Self organizing feature maps; Space technology; Testing; Two dimensional displays; Visualization; Genetic algorithm (GA); optimization; self-organizing map (SOM); visualization;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/TMAG.2005.846488
Filename :
1430973
Link To Document :
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