DocumentCode
528612
Title
Statistical distribution of the genetic algorithm sampling with Schwefel´s F7 objective function
Author
Pietak, Daniel Andrzej
Author_Institution
Fac. of Electron. & Inf. Technol., Warsaw Univ. of Technol., Warsaw, Poland
fYear
2010
fDate
7-10 Sept. 2010
Firstpage
413
Lastpage
416
Abstract
In this paper the new method of the surface shape investigation close to the optimum is presented. To improve parameter study both probabilistic theory and graph theory were applied. The simulations are taken with genetic algorithm and multidimensional test objective function. The results are presented on raw data and with the use of Minimum Distance Rule, which determines the minimum distance between two samples.
Keywords
genetic algorithms; graph theory; sampling methods; statistical distributions; Schwefel´s F7 objective function; genetic algorithm sampling; graph theory; minimum distance rule; multidimensional test objective function; probabilistic theory; statistical distribution; surface shape investigation; Biological cells; Clustering algorithms; Correlation; Graph theory; Histograms; Optimization; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals and Electronic Systems (ICSES), 2010 International Conference on
Conference_Location
Gliwice
Print_ISBN
978-1-4244-5307-8
Electronic_ISBN
978-83-9047-4-2
Type
conf
Filename
5595156
Link To Document