![](/images/graphics-bg.png)
The Application of Multiobjective Genetic Algorithm to the Parameter Optimization of Single-Well Potential Stochastic Resonance Algorithm Aimed at Simultaneous Determination of Multiple Weak Chromatographic Peaks
Joint Authors
Deng, Haishan
Xie, Shaofei
Xiang, Bingren
Zhan, Ying
Li, Xiaohua
Jiang, Caiyun
Wu, Xiaohong
Liu, Dan
Li, Wei
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-04
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Simultaneous determination of multiple weak chromatographic peaks via stochastic resonance algorithm attracts much attention in recent years.
However, the optimization of the parameters is complicated and time consuming, although the single-well potential stochastic resonance algorithm (SSRA) has already reduced the number of parameters to only one and simplified the process significantly.
Even worse, it is often difficult to keep amplified peaks with beautiful peak shape.
Therefore, multiobjective genetic algorithm was employed to optimize the parameter of SSRA for multiple optimization objectives (i.e., S/N and peak shape) and multiple chromatographic peaks.
The applicability of the proposed method was evaluated with an experimental data set of Sudan dyes, and the results showed an excellent quantitative relationship between different concentrations and responses.
American Psychological Association (APA)
Deng, Haishan& Xie, Shaofei& Xiang, Bingren& Zhan, Ying& Li, Wei& Li, Xiaohua…[et al.]. 2013. The Application of Multiobjective Genetic Algorithm to the Parameter Optimization of Single-Well Potential Stochastic Resonance Algorithm Aimed at Simultaneous Determination of Multiple Weak Chromatographic Peaks. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1050971
Modern Language Association (MLA)
Deng, Haishan…[et al.]. The Application of Multiobjective Genetic Algorithm to the Parameter Optimization of Single-Well Potential Stochastic Resonance Algorithm Aimed at Simultaneous Determination of Multiple Weak Chromatographic Peaks. The Scientific World Journal No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1050971
American Medical Association (AMA)
Deng, Haishan& Xie, Shaofei& Xiang, Bingren& Zhan, Ying& Li, Wei& Li, Xiaohua…[et al.]. The Application of Multiobjective Genetic Algorithm to the Parameter Optimization of Single-Well Potential Stochastic Resonance Algorithm Aimed at Simultaneous Determination of Multiple Weak Chromatographic Peaks. The Scientific World Journal. 2013. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1050971
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050971