Analytical Methods on Computational Capabilities of Multi-parameter Natural Algorithm

Author

Li Jianhua ; Wei Xing

Author_Institution

Sch. of Mech. & Electron. Eng., Lanzhou Univ. of Technol., Lanzhou, China

Volume

2

fYear

2014

Firstpage

285

Lastpage

287

Abstract

Concerning the Computational capabilities of Multi-parameter natural algorithm, the Mathematical statistical analysis method using multi-indicators has been proposed. These indicators include the calculation central tendency, the dispersion trends and data distribution, which can clearly reflect the natural algorithm computational capabilities for specific problems, and reveal the influence of different parameters on the process of algorithms calculation. Finally, the immune clone operator is taken as an Analysis case. The experimental data has given the rule of the influence of computing power in different parameters.

Keywords

artificial immune systems; mathematical operators; statistical analysis; analytical methods; calculation central tendency; computational capabilities; data distribution; dispersion trends; immune clone operator; mathematical statistical analysis method; multiindicators; multiparameter natural algorithm; Algorithm design and analysis; Cloning; Dispersion; Immune system; Market research; Sociology; Statistics; Computational capabilities; Immune clone operator; Natural algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on

Print_ISBN

978-1-4799-7004-9

Type

conf

DOI

10.1109/ISCID.2014.51

Filename

7081990