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