Analytical Methods on Computational Capabilities of Multi-parameter Natural Algorithm

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...

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Bibliographic Details
Published in2014 Seventh International Symposium on Computational Intelligence and Design Vol. 2; pp. 285 - 287
Main Authors Li Jianhua, Wei Xing
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2014
Subjects
Algorithm design and analysis
Cloning
Computational capabilities
Dispersion
Immune clone operator
Immune system
Natural algorithm
Sociology
Statistics
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ISBN9781479970049
1479970042
DOI10.1109/ISCID.2014.51

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Summary: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.
ISBN:9781479970049
1479970042
DOI:10.1109/ISCID.2014.51