A modified DNA genetic algorithm for parameter estimation of the 2-Chlorophenol oxidation in supercritical water

Applied Mathematical Modelling

Volumn 37, Issue 3, 2013, Pages 1137-1146

  Zhang, Li ^a,b   Wang, Ning ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

^b ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

DNA computing; Genetic algorithm; Parameter estimation; Supercritical water oxidation

Indexed keywords

2-CHLOROPHENOLS; ADAPTIVE MUTATION; BENCHMARK FUNCTIONS; CROSSOVER OPERATOR; DNA ENCODING; DNA-COMPUTING; FRAME-SHIFT MUTATION; GENETIC INFORMATION; GLOBAL OPTIMUM; GLOBAL SEARCHING ABILITY; LOCAL SEARCH METHOD; MODIFIED DNA; PREMATURE CONVERGENCE; SEARCH SPACES; SUPERCRITICAL WATER; SUPERCRITICAL WATER OXIDATION;

BENCHMARKING; BIOLOGY; DNA; GENES; KINETIC PARAMETERS; OXIDATION; PARAMETER ESTIMATION; RNA;

GENETIC ALGORITHMS;

EID: 84870238385     PISSN: 0307904X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apm.2012.03.046     Document Type: Article

References (22)

1. Sánchez-Oneto J., Mancini F., Portela J.R., Nebot E., Cansell F., Martínez de la Ossa E.J. Kinetic model for oxygen concentration dependence in the supercritical water oxidation of an industrial wastewater. Chem. Eng. J. 2008, 144:361-367.
2. Thomton T.D., Savage P.E. Kinetics of phenol oxidation in supercritical water. AIChE J. 1992, 32:321-327.
3. Koo M., Lee W.K., Lee C.H. New reactor system for supercritical water oxidation and its application on phenol destruction. Chem. Eng Sci. 1997, 52:1201-1214.
4. Biegler L. Solution of dynamic optimization problems by successive quadratic programming and orthogonal collocation. Comput. Chem. Eng. 1984, 8:343-348.
5. Lagarias J.C., Reeds J.A., Wright M.H., Wright P.E. Convergence properties of the Nelder-Mead simplex method in low dimensions. SIAM. J. Optim. 1998, 9(1):112-147.
6. Mcloone S., Brown M.D., Irwin G., Lightbody G. A hybrid linear/nonlinear training algorithm for feedforward neural networks. IEEE Trans. Neural Networks 1998, 9:669-684.
7. Yang S.B., Yang B.L. Estimating kinetics parameters in synthesis of ethyl tert-butyl ether by using genetic algorithm. J. Chem. Ind. Eng. (China) 2002, 53:54-59.
8. Harris S.D., Elliott L., Ingham D.B., Pourkashanian M., Wilson C.W. The optimization of reaction rate parameters for chemical kinetic modeling of combustion using genetic algorithms. Comput. Meth. Appl. Mech. Eng. 2000, 190:1065-1090.
9. Park L.J., Park C.H., Park C., Lee T. Application of genetic algorithm to parameter estimation of bioprocesses. Biol. Eng. Comput. 1997, 35(1):47-49.
10. Roeva Olympia Genetic algorithms for a parameter estimation of a fermentation process model: a comparison. Bioautomation 2005, 3:19-28.
11. G.E. Carrillo-Ureta, P.D. Roberts, V.M. Becerra, Genetic algorithms for optimal control of beer fermentation, in: Proceedings of the 2001 IEEE International Symposium on Intelligent Control, Mexico City, Mexico, September 2001, pp. 391-396.
12. Moros R., Kalies H., Rex H.G., Schaffarczyk S. A genetic algorithm for generating initial parameter estimations for kinetic models of catalytic processes. Comput. Chem. Eng. 1996, 20:1257-1270.
13. Elliott L., Ingham D.B., Kyne A.G., Mera N.S., Pourkashanian M., Wilson C.W. Genetic algorithms for optimisation of chemical kinetics reaction mechanisms. Energy Combust. Sci. 2004, 30:297-328.
14. Balland L., Estel L., Cosmao J.M., Mouhab N. A genetic algorithm with decimal coding for the estimation of kinetic and energetic parameters. Chemometr. Intell. Lab. Syst. 2000, 50(1):121-135.
15. Tang K.Z., Sun T.K., Yang J.Y. An improved genetic algorithm based on a novel selection strategy for nonlinear programming problems. Comput. Chem. Eng. 2011, 35:615-621.
16. Valarmathi K., Devaraj D., Radhakrishnan T.K. Real-coded genetic algorithm for system identification and controller tuning. Appl. Math. Model. 2009, 33:3392-3401.
17. Tao J.L., Wang N. DNA computing based RNA genetic algorithm with applications in parameter estimation of chemical engineering processes. Comput. Chem. Eng. 2007, 31:1602-1618.
18. Wang K.T., Wang N. A novel RNA genetic algorithm for parameter estimation of dynamic system. Chem. Eng. Res. Des. 2010, 88:1485-1493.
19. Chen X., Wang N. A DNA based genetic algorithm for parameter estimation in the hydrogenation reaction. Chem. Eng. J. 2009, 150:527-535.
20. Wang K.T., Wang N. A protein inspired RNA genetic algorithm for parameter estimation in hydrocracking of heavy oil. Chem. Eng. J. 2011, 167:228-239.
21. Gould J.L., Keeton W.T. Biological Science 1996, W.W. Norton& Company.
22. Li R., Savage P.E., Szmukler D. 2-Chlorophenol oxidation in supercritical water: global kinetics and reaction products. AIChE. J. 1993, 39:178-187.