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Analytical Letters Volume 32, 1999 - Issue 3
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Original Articles

Genetic Algorithms in Analytical Chemistry

Barry K. Lavine
&
Anthony J. Moores
Pages 433-445 | Published online: 18 Feb 2008

Citations (18)

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Read on this site (2)

Wojciech Paszkowicz. (2009) Genetic Algorithms, a Nature-Inspired Tool: Survey of Applications in Materials Science and Related Fields. Materials and Manufacturing Processes 24:2, pages 174-197.
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S. Riahi, M. F. Mousavi, Mohammad Reza Ganjali & Parviz Norouzi. (2008) Application of Correlation Ranking Procedure and Artificial Neural Networks in the Modeling of Liquid Chromatographic Retention Times (tR) of Various Pesticides. Analytical Letters 41:18, pages 3364-3385.
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Articles from other publishers (16)

Kader Sahin & Emin Saripinar. (2020) A novel hybrid method named electron conformational genetic algorithm as a 4D QSAR investigation to calculate the biological activity of the tetrahydrodibenzazosines. Journal of Computational Chemistry 41:11, pages 1091-1104.
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Haitao Chang, Lianqing Zhu, Xiaoping Lou, Xiaochen Meng, Yangkuan Guo & Zhongyu Wang. (2016) Local Strategy Combined with a Wavelength Selection Method for Multivariate Calibration. Sensors 16:6, pages 827.
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H. Kruggel-Emden, F. Stepanek & A. Munjiza. (2011) A comparative study of reaction models applied for chemical looping combustion. Chemical Engineering Research and Design 89:12, pages 2714-2727.
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H. Kruggel‐Emden & V. Scherer. (2011) Heat and Mass Flow Control in an Interconnected Multiphase CFD Model for Chemical Looping Combustion. Chemical Engineering & Technology 34:8, pages 1259-1270.
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William Rayens, Yushu Liu, Anders Andersen & Charles Smith. (2008) Using OrPLS to identify asymptomatic women at risk for Alzheimer's disease. Journal of Chemometrics 22:9, pages 522-527.
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Qi Shen, Wei-min Shi, Xi-ping Yang & Bao-xian Ye. (2006) Particle swarm algorithm trained neural network for QSAR studies of inhibitors of platelet-derived growth factor receptor phosphorylation. European Journal of Pharmaceutical Sciences 28:5, pages 369-376.
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Wojciech Paszkowicz. (2006) Properties of a genetic algorithm extended by a random self-learning operator and asymmetric mutations: A convergence study for a task of powder-pattern indexing. Analytica Chimica Acta 566:1, pages 81-98.
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Qi Shen, Jian-Hui Jiang, Chen-Xu Jiao, Wei-Qi Lin, Guo-Li Shen & Ru-Qin Yu. (2004) Hybridized particle swarm algorithm for adaptive structure training of multilayer feed-forward neural network: QSAR studies of bioactivity of organic compounds. Journal of Computational Chemistry 25:14, pages 1726-1735.
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G.P. Kasprzyk & M. Jaskuła. (2004) Application of the hybrid genetic-simplex algorithm for deconvolution of electrochemical responses in SDLSV method. Journal of Electroanalytical Chemistry 567:1, pages 39-66.
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Claudia E.W. Gributs & David H. Burns. (2003) Multiresolution analysis for quantification of optical properties in scattering media using pulsed photon time-of-flight measurements. Analytica Chimica Acta 490:1-2, pages 185-195.
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Qingzhang Lü, Guoli Shen & Ruqin Yu. (2003) A chaotic approach to maintain the population diversity of genetic algorithm in network training. Computational Biology and Chemistry 27:3, pages 363-371.
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Claudia E. W. Gributs & David H. Burns. (2003) Haar transform analysis of photon time-of-flight measurements for quantification of optical properties in scattering media. Applied Optics 42:16, pages 2923.
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Qingzhang Lu, Guoli Shen & Ruqin Yu. (2002) Genetic training of network using chaos concept: Application to QSAR studies of vibration modes of tetrahedral halides. Journal of Computational Chemistry 23:14, pages 1357-1365.
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B.K. Lavine, C.E. Davidson & A.J. Moores. (2002) Genetic algorithms for spectral pattern recognition. Vibrational Spectroscopy 28:1, pages 83-95.
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B. K. LavineC. E. DavidsonA. J. MooresP. R. Griffiths. (2016) Raman Spectroscopy and Genetic Algorithms for the Classification of Wood Types. Applied Spectroscopy 55:8, pages 960-966.
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Ron Wehrens & Lutgarde M. C. Buydens. 2000. Evolutionary Algorithms in Molecular Design. Evolutionary Algorithms in Molecular Design 99 114 .

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