激光与光电子学进展, 2018, 55 (9): 093005, 网络出版: 2018-09-08   

基于生物地理学优化算法的水体重金属激光诱导击穿光谱定量分析 下载: 607次

Quantitative Analysis of Laser-Induced Breakdown Spectroscopy of Heavy Metals in Water Based on Biogeography-Based Optimization Algorithm
作者单位
1 西安电子科技大学物理与光电工程学院, 陕西 西安 710071
2 深圳大学光电工程学院, 广东 深圳 518060
引用该论文

刘立新, 孙罗庚, 李梦珠, 祝铭. 基于生物地理学优化算法的水体重金属激光诱导击穿光谱定量分析[J]. 激光与光电子学进展, 2018, 55(9): 093005.

Liu Lixin, Sun Luogeng, Li Mengzhu, Zhu Ming. Quantitative Analysis of Laser-Induced Breakdown Spectroscopy of Heavy Metals in Water Based on Biogeography-Based Optimization Algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(9): 093005.

参考文献

[1] Bauer A J, Buckley S G. Novel applications of laser-induced breakdown spectroscopy[J]. Applied Spectroscopy, 2017, 71(4): 553-566.

[2] 陈娜, 刘尧香, 杜盛喆, 等. 纳秒、飞秒激光诱导击穿光谱技术的应用研究进展[J]. 激光与光电子学进展, 2016, 53(5): 050003.

    Chen N, Liu Y X, Du S Z, et al. Research progress in applications of nanosecond and femtosecond laser-induced breakdown spectroscopy[J]. Laser & Optoelectronics Progress, 2016, 53(5): 050003.

[3] Martin M Z, Mayes M A, Heal K R, et al. Investigation of laser-induced breakdown spectroscopy and multivariate analysis for differentiating inorganic and organic C in a variety of soils[J]. Spectrochimica Acta Part B: Atomic Spectroscopy, 2013, 87(9): 100-107.

[4] Cremers D A, Ferris M J. Extending the applicability of laser-induced breakdown spectroscopy for total soil carbon measurement[J]. Soil Science Society of America Journal, 2003, 67(5): 1616-1619.

[5] El Haddad J, Villot-Kadri M, Ismal A, et al. Artificial neural network for on-site quantitative analysis of soils using laser induced breakdown spectroscopy[J]. Spectrochimica Acta Part B: Atomic Spectroscopy, 2013, 79/80(3): 51-57.

[6] 胡杨, 李子涵, 吕涛. 激光诱导击穿光谱结合人工神经网络测定地质标样中的铁含量[J]. 激光与光电子学进展, 2017, 54(5): 053003.

    Hu Y, Li Z H, Lü T. Quantitative measurement of iron content in geological standard samples by laser-induced breakdown spectroscopy combined with artificial neural network[J]. Laser & Optoelectronics Progress, 2017, 54(5): 053003.

[7] Kong H Y, Sun L X, Hu J T, et al. Quantitative analysis of steels using PLS with three data reduction methods based on LIBS[J]. Advanced Materials Research, 2014, 997: 578-582.

[8] Yang G, Qiao S J, Chen P F, et al. Rock and soil classification using PLS-DA and SVM combined with a laser-induced breakdown spectroscopy library[J]. Plasma Science and Technology, 2015, 17(8): 656-663.

[9] Simon D. Biogeography-based optimization[J]. IEEE Transactions on Evolutionary Computation, 2008, 12(6): 702-713.

[10] 冯思玲, 朱清新. 生物地理学优化算法研究进展[J]. 运筹与模糊学, 2014, 4(2): 25-34.

    Feng S L, Zhu Q X. Research process of biogeography-based optimization[J]. Operations Research and Fuzziology, 2014, 4(2): 25-34.

[11] 张国辉, 聂黎, 张利平. 生物地理学优化算法理论及其应用研究综述[J]. 计算机工程与应用, 2015, 51(3): 12-17.

    Zhang G H, Nie L, Zhang L P. Review on biogeography-based optimization algorithm and applications[J]. Computer Engineering and Applications, 2015, 51(3): 12-17.

[12] Wesche T A, Goertler C M, Hubert W A. Modified habitat suitability index model for brown trout in southeastern Wyoming[J]. North American Journal of Fisheries Management, 1987, 7(2): 232-237.

[13] Mirjalili S, Mirjalili S M, Lewis A. Let a biogeography-based optimizer train yourmulti-layer perceptron[J]. Information Sciences, 2014, 269(8): 188-209.

[14] 王娟, 吴宪祥, 曹艳玲. 基于差分进化生物地理学优化的多层感知器训练方法[J]. 计算机应用研究, 2017, 34(3): 693-696.

    Wang J, Wu X X, Cao Y L. Multi-layer perceptron using hybrid differential evolution and biogeography-based optimization[J]. Application Research of Computers, 2017, 34(3): 693-696.

[15] 沈沁梅, 周卫东, 李科学. 基于遗传神经网络的激光诱导击穿光谱元素定量分析技术[J]. 中国激光, 2011, 38(3): 0315001.

    Shen Q M, Zhou W D, Li K X. Quantative elemental analysis using laser induced breakdown spectroscopy and neuro-genetic approach[J]. Chinese Journal of Lasers, 2011, 38(3): 0315001.

[16] 修俊山, 侯华明, 钟石磊, 等. 以滤纸为基质利用LIBS定量分析水溶液中铅元素[J]. 中国激光, 2011, 38(8): 0815003.

    Xiu J S, Hou H M, Zhong S L, et al. Quantitative determination of heavy metal element Pb in aqueous solutions by laser-induced breakdown spectroscopy using paper slice substrates[J]. Chinese Journal of Lasers, 2011, 38(8): 0815003.

[17] 张纪会, 高齐圣, 徐心和. 自适应蚁群算法[J]. 控制理论与应用, 2000, 17(1): 1-3.

    Zhang J H, Gao Q S, Xu X H. A self-adaptive ant colony algorithm[J]. Control Theory and Applications, 2000, 17(1): 1-3.

[18] Yaseen S G, Al-Slamy N M A. Ant colony optimization[J]. International Journal of Computer Science and Network Security, 2008, 8(6): 351-357.

[19] Diaz Pace D M, D′Angelo C A, Bertuccelli D, et al. Analysis of heavy metals in liquids using laser induced breakdown spectroscopy by liquid-to-solid matrix conversion[J]. Spectrochimica Acta Part B: Atomic Spectroscopy, 2006, 61(8): 929-933.

刘立新, 孙罗庚, 李梦珠, 祝铭. 基于生物地理学优化算法的水体重金属激光诱导击穿光谱定量分析[J]. 激光与光电子学进展, 2018, 55(9): 093005. Liu Lixin, Sun Luogeng, Li Mengzhu, Zhu Ming. Quantitative Analysis of Laser-Induced Breakdown Spectroscopy of Heavy Metals in Water Based on Biogeography-Based Optimization Algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(9): 093005.

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