Automatic reactor model synthesis with genetic programming

Water Science and Technology

Volumn 65, Issue 4, 2012, Pages 765-772

  Dürrenmatt, David J ^a,b   Gujer, Willi ^a,b  

^a ETH ZURICH   (Switzerland)

^b SWISS FEDERAL INSTITUTE OF AQUATIC SCIENCE AND TECHNOLOGY   (Switzerland)

Author keywords

Grammar based genetic programming; Hydraulic reactor systems; Modeling; Operating data

Indexed keywords

BUILDING BLOCKES; COMMON SOFTWARE; CONTINUOUS STIRRED TANK REACTOR; DISCHARGE MEASUREMENTS; EFFLUENT CONCENTRATIONS; GRAMMAR-BASED GENETIC PROGRAMMING; OPERATING DATA; PRIMARY CLARIFIERS; PROGRAM TREES; REACTOR MODELS; TRACER EXPERIMENT; WASTEWATER TREATMENT PLANTS;

EFFLUENTS; ENCODING (SYMBOLS); ENGINEERS; GENETIC PROGRAMMING; MODELS; TEMPERATURE MEASUREMENT; TREES (MATHEMATICS);

EXPERIMENTS;

BIOREACTOR; BUILDING; CONCENTRATION (COMPOSITION); COST-BENEFIT ANALYSIS; DATA SET; DISCHARGE; EFFLUENT; GENETIC ALGORITHM; IMPLEMENTATION PROCESS; MEASUREMENT METHOD; NUMERICAL MODEL; SOFTWARE; TEMPERATURE EFFECT; WASTEWATER; WATER TREATMENT;

ARTICLE; BIOREACTOR; CONTINUOUS STIRRED TANK REACTOR; EFFLUENT; GENETIC ALGORITHM; GRAMMAR BASED GENETIC PROGRAMMING; PLUG FLOW REACTOR; TREE; WASTE WATER TREATMENT PLANT;

ALGORITHMS; BIOREACTORS; MODELS, THEORETICAL; SEWAGE; SOFTWARE; WASTE DISPOSAL, FLUID; WATER PURIFICATION;

EID: 84857396805     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2012.913     Document Type: Article

References (15)

1. Alex, J., Kolisch, G. & Krause, K. 2002 Model structure identification for wastewater treatment simulation based on computational fluid dynamics.Water Science and Technology 45 (4-5), 325-334. (Pubitemid 34256555)
2. Evett, M. & Fernandez, T. 1998 Numeric mutation improves the discovery of numeric constants in genetic programming. In: Genetic Programming 1998: Proceedings of the Third Annual Conference, (J. R. Koza et al., eds.), Morgan Kaufmann, San Francisco, pp. 66-71.
3. Flores, J. & Graff, M. 2005 System identification using genetic programming and gene expression programming. In: Computer and Information Sciences - ISCIS 2005 (P. Yolum, T. Güngör, F. Gürgen & C. Özturan, eds). Springer, Berlin/Heidelberg, pp. 503-511.
4. Gujer, W. 2008 Systems Analysis for Water Technology. Springer, Berlin.
5. Hocine, S., Pibouleau, L., Azzaro-Pantel, C. & Domenech, S. 2008Modelling systems defined by RTD curves. Computers and Chemical Engineering 32 (12), 3112-3120.
6. Keesman, K. J. 2011 System Identification - an Introduction. Springer, London.
7. Keesman, K. J. & Stigter, H. 2002 On compartmental modelling of mixing phenomena. In: Proceedings of the 15th IFAC World Congress (L. Basañez & J. A. de la Puente, eds). Barcelona.
8. Koza, J. R. 1992 Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge, MA.
9. Laquerbe, C., Laborde, J. C., Soares, S., Ricciardi, L., Floquet, P., Pibouleau, L. & Domenech, S. 2001 Computer aided synthesis of RTD models to simulate the air flow distribution in ventilated rooms. Chemical Engineering Science 56 (20), 5727-5738. (Pubitemid 33023758)
10. Ljung, L. 1987 System Identification - Theory for the User. Prentice-Hall, Englewood Cliffs, New Jersey.
11. McKay, B., Willis, M. & Barton, G. 1997 Steady-state modelling of chemical process systems using genetic programming. Computers and Chemical Engineering 21 (9), 981-996.
12. Metcalf & Eddy Inc. 2003 Wastewater Engineering. Treatment and Reuse, 4th edition. McGraw-Hill, Boston.
13. Soule, T. & Foster, J. A. 1998 Effects of code growth and parsimony pressure on populations in genetic programming. Evolutionary Computation 6 (4), 293-309.
14. Tsakonas, A. 2006 A comparison of classification accuracy of four genetic programming-evolved intelligent structures. Information Sciences 176 (6), 691-724. (Pubitemid 43031463)
15. Uhlenbeck, G. E. & Ornstein, L. S. 1930 On the theory of the Brownian motion. Physical Review 36 (5), 823-841.