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
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 al...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/767018 |
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| author | Haishan Deng Shaofei Xie Bingren Xiang Ying Zhan Wei Li Xiaohua Li Caiyun Jiang Xiaohong Wu Dan Liu |
| author_facet | Haishan Deng Shaofei Xie Bingren Xiang Ying Zhan Wei Li Xiaohua Li Caiyun Jiang Xiaohong Wu Dan Liu |
| author_sort | Haishan Deng |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0c01a37343994b4e962c68820142eee6 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-0c01a37343994b4e962c68820142eee62025-02-03T01:21:51ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/767018767018The Application of Multiobjective Genetic Algorithm to the Parameter Optimization of Single-Well Potential Stochastic Resonance Algorithm Aimed at Simultaneous Determination of Multiple Weak Chromatographic PeaksHaishan Deng0Shaofei Xie1Bingren Xiang2Ying Zhan3Wei Li4Xiaohua Li5Caiyun Jiang6Xiaohong Wu7Dan Liu8Department of Pharmacy, College of Pharmacy, Nanjing University of Chinese Medicine, No. 138 Xianlin Avenue, Nanjing 210023, ChinaNanjing Changao Pharmaceutical Technology Limited, No. 1 Hengfei Road, Economic and Technological Development Zone, Nanjing 210038, ChinaCenter for Instrumental Analysis, China Pharmaceutical University, No. 24 Tongjiaxiang, Nanjing 210009, ChinaZhongda Hospital Affiliated to Southeast University, Nanjing 210009, ChinaDepartment of Pharmacy, College of Pharmacy, Nanjing University of Chinese Medicine, No. 138 Xianlin Avenue, Nanjing 210023, ChinaDepartment of Engineering and Technology, Jiangsu Institute of Economic and Trade Technology, Nanjing 210007, ChinaDepartment of Engineering and Technology, Jiangsu Institute of Economic and Trade Technology, Nanjing 210007, ChinaDepartment of Engineering and Technology, Jiangsu Institute of Economic and Trade Technology, Nanjing 210007, ChinaDepartment of Pharmacy, College of Pharmacy, Nanjing University of Chinese Medicine, No. 138 Xianlin Avenue, Nanjing 210023, ChinaSimultaneous 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.http://dx.doi.org/10.1155/2014/767018 |
| spellingShingle | Haishan Deng Shaofei Xie Bingren Xiang Ying Zhan Wei Li Xiaohua Li Caiyun Jiang Xiaohong Wu Dan Liu 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 |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| url | http://dx.doi.org/10.1155/2014/767018 |
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