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
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;
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
