A novel switching local evolutionary PSO for quantitative analysis of lateral flow immunoassay

Expert Systems with Applications

Volumn 41, Issue 4 PART 2, 2014, Pages 1708-1715

  Zeng, Nianyin ^a,b   Hung, Y S ^b   Li, Yurong ^a,c   Du, Min ^a,c  

^a FUZHOU UNIVERSITY   (China)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

^c Fujian Key Laboratory of Medical Instrumentation and Pharmaceutical Technology   (China)

Author keywords

Differential evolution; Immunochromatographic strip; Lateral flow immunoassay; Non homogeneous Markov chain; Particle swarm optimization

Indexed keywords

DIFFERENTIAL EVOLUTION; IMMUNOCHROMATOGRAPHIC STRIPS; LATERAL FLOW IMMUNOASSAY; LATERAL FLOW IMMUNOASSAYS (LFIA); NON-HOMOGENEOUS; PROBABILITY TRANSITION MATRIX; QUANTIFICATION ANALYSIS; QUANTITATIVE INTERPRETATION;

PARTICLE SWARM OPTIMIZATION (PSO);

MARKOV PROCESSES;

EID: 84888387813     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.08.069     Document Type: Article

References (24)

1. A. Abdullah, S. Deris, M. Mohamad, and S. Hashim A new particle swarm evolutionary optimization for parameter estimation of biological models International Journal of Computer Information Systems and Industrial Management Applications 5 2013 571 580
2. Abdullah, A., Deris, S., Hashim, S., Mohamad, M., & Arjunan, S. (2011). An improved local best searching in particle swarm optimization using differential evolution. In 11th International Conference on Hybrid Intelligent Systems (pp. 115-120).
3. M.M. Ali, and A. Torn Population set based global optimization algorithms: Some modifications and numerical studies Computers and Operations Research 31 10 2004 1703 1725 (Pubitemid 38485240)
4. J. Brest, S. Greiner, B. Boskovic, M. Mernik, and V. Zumer Self-adapting control parameters in differential evolution: A comparative study on numerical benchmark problems IEEE Transactions on Evolutionary Computation 10 6 2006 646 657 (Pubitemid 46445554)
5. C. Blum Ant colony optimization: Introduction and recent trends Physics of Life Reviews 2 4 2005 353 373 (Pubitemid 41781478)
6. L. Chuang, J. Hwang, H. Chang, F. Chang, and S.H. Jong Rapid and simple quantitative measurement of a-fetoprotein by combining immunochromatographic strip test and artificial neural network image analysis system Clinica Chimica Acta 348 2004 87 93 (Pubitemid 39209005)
7. M. Clerc, and J. Kennedy The particle swarm: Explosion, stability, and convergence in a multi-dimensional complex space IEEE Transactions on Evolutionary Computation 6 1 2002 58 73 (Pubitemid 34404564)
8. A. Kolosova, S. Saeger, L. Sibanda, R. Verheijen, and C. Peteghem Development of a colloidal gold-based lateral-flow immunoassay for the rapid simultaneous detection of zearalenone and deoxynivalenol Analytical and Bioanalytical Chemistry 389 2007 2103 2107 (Pubitemid 350198027)
9. Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. In Proceedings of the IEEE International Conference On Neural Network (pp. 1942-1948).
10. G. Liu, Z. Han, and D. Nie Rapid and sensitive quantitation of zearalenone in food and feed by lateral flow immunoassay Food Control 27 1 2012 200 205
11. E. Laderman, E. Whitworth, E. Dumaual, M. Jones, A. Hudak, and W. Hogrefe Rapid, sensitive, and specific lateral-flow immunochromatographic point-of-care device for detection of herpes simplex virus type 2-specific immunoglobulin G antibodies in serum and whole blood Clinical and Vaccine Immunology 5 2008 159 163 (Pubitemid 351966545)
12. S. Qian, and H. Haim A mathematical model of lateral flow bioreactions applied to sandwich assays Analytical Biochemistry 322 1 2003 89 98 (Pubitemid 37188560)
13. S. Qian, and H. Haim Analysis of lateral flow biodetectors: Competitive format Analytical Biochemistry 326 2 2004 211 224 (Pubitemid 38293383)
14. C. Raphael, and Y. Harley Lateral flow immunoassay 2008 Humana Press
15. A. Ratnaweera, S.K. Halgamure, and H.C. Watson Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients IEEE Transactions on Evolutionary Computation 8 2004 240 255
16. Shi, Y., & Eberhart, R. C. (1999). Empirical study of particle swarm optimization. In Proceedings of the 1999 IEEE Congress on Evolutionary Computation (pp. 1945-1950).
17. Shi, Y., & Eberhart, R. C. (1998). Parameter selection in particle swarm optimization. In Proceedings of the 7th International Conference on Evolutionary Programming (pp. 591-600). (Pubitemid 128118969)
18. R. Storn, and K. Price Differential evolution-A simple and efficient heuristic for global optimization over continuous spaces Journal of Global Optimization 11 1997 341 359 (Pubitemid 127502202)
19. Y. Tang, Z. Wang, and J. Fang Parameters identification of unknown delayed genetic regulatory networks by a switching particle swarm optimization algorithm Expert Systems with Applications 38 2011 2523 2535
20. Y.G. Tang, and X. Guan Parameter estimation for time-delay chaotic system by particle swarm optimization Chaos, Solitons and Fractals 40 3 2009 1391 1398
21. Y. Valle, G. Venayagamoorthy, S. Mohagheghi, J. Hernandez, and R. Harley Particle swarm optimization: Basic concepts, variants and applications in power systems IEEE Transactions on Evolutionary Computation 12 2 2008 171 195 (Pubitemid 351546693)
22. N. Zeng, Z. Wang, Y. Li, M. Du, and X. Liu Identification of nonlinear lateral flow immunoassay state-space models via particle filter approach IEEE Transactions on Nanotechnology 11 2 2012 321 327
23. N. Zeng, Z. Wang, Y. Li, M. Du, and X. Liu A hybrid EKF and switching PSO algorithm for joint state and parameter estimation of lateral flow immunoassay models IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 2 2012 321 329
24. N. Zeng, Z. Wang, Y. Li, M. Du, and X. Liu Inference of nonlinear state-space models for sandwich-type lateral flow immunoassay using extended Kalman filtering IEEE Transactions on Biomedical Engineering 58 7 2011 1959 1966