Hybrid genetic algorithm

Author

Dzidolikaite, Agne

Author_Institution

Vilnius Univ., Vilnius, Lithuania

fYear

2015

fDate

21-21 April 2015

Firstpage

1

Lastpage

4

Abstract

In many research fields we have to deal with multidimensional data. Multidimensional data should be provided in a form that researcher could understand the structure of the given data. Graphical data visualization could be used for this purpose. One of the methods of graphical data visualization is multidimensional scaling. Using multidimensional scaling higher dimension data is visualized in two or three dimensional space. In this paper genetic algorithm is combined with multidimensional scaling technique. Genetic algorithms usually mimic natural evolution and consist of selection, recombination and mutation. The new hybrid genetic algorithm is analyzed with beverages dataset and pharmacological dataset.

Keywords

data handling; data visualisation; genetic algorithms; beverage dataset; graphical data visualization; hybrid genetic algorithm; multidimensional data; multidimensional scaling; pharmacological dataset; Biological cells; Data visualization; Evolutionary computation; Genetic algorithms; Linear programming; Sociology; Statistics; beverages data; genetic algorithm; multidimensional scaling; pharmacological data;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical, Electronic and Information Sciences (eStream), 2015 Open Conference of

Conference_Location

Vilnius

Type

conf

DOI

10.1109/eStream.2015.7119482

Filename

7119482