Systems modelling using genetic programming

Computers and Chemical Engineering

Volumn 21, Issue SUPPL.1, 1997, Pages

  Willis, Mark ^a   Hiden, Hugo ^a   Hinchliffe, Mark ^a   Mckay, Ben ^a   Barton, Geoffrey W ^b  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0000336189     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0098-1354(97)87659-4     Document Type: Article

References (17)

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2. Bettenhausen, K.D., Marenbach, P., Freyer, S., Rettenmaier, H. and Nieken, U., (1995), 'Self-organising structured modelling of a biotechnological fed-batch fermentation by means of genetic programming', Proc. IEE Conf. on Genetic Algorithms in Engng. Systems: Inovations and Applications - GALESIA'95, Sheffield, UK, No 414, pp.481-486.
3. Elsey, J., Riepenhausen, J., McKay, B. and Barton, G.W., (1996), 'Dynamic modelling of a cooking extruder', The proceedings of Chemeca'96, Sydney, Australia.
4. Frohlich, J. and Hafner, C. (1996) 'Extended and Generalised Genetic Programming for Function Analysis', Available on WWW.
5. Gani, R.C., Ruiz, A. and Cameron, I.T., 'A Generalised Model for a Distillation Columns - I', Comp. Chem. Eng., 10, pp 181-198, (1986).
6. Hinchliffe, M.P., Willis, M.J., Hiden, H.G., Tham, M.T., McKay, B. and Barton, G. (1996) 'Modelling Chemical Process Systems using a Multi-Gene Genetic Programming Algorithm', Late Breaking Paper, GP'96, Stanford, USA.
7. Howard, E. and Oakley, N., (1995), 'Genetic programming as a means of assessing and reflecting chaos', Tech. Report FS-95-01, AAAI Press, pp.68-72.
8. Iba, H., de Garis, H. and Sato, T., (1994), 'Genetic programming using local hill-climbing', Davidor, Y. ,Schwefel, H.P. and Manner, R. (Ed.), Parallel Problem Solving in Nature - PPSN III, Vol.866 of Lecture Notes in Computer Science, Springer-Verlag, Germany, pp.302-311.
9. Koza, J., (1992), 'Genetic programming: On the programming of computers by means of natural selection', The MIT Press, USA.
10. Koza, J., (1994), Genetic Programming II: Automatic Discovery of Reusable Programs, The MIT Press, USA.
11. Marenbach, P., Bettenhausen, K.D. and Freyer, S., (1996), 'Signal path oriented approach for generation of dynamic process models', Proc. 1st Anual Conf. on Genetic Programming, Stanford University, USA, pp.327-332.
12. McKay, B., Lennox, B., Willis, M.J., .Montague, G. and Barton, G.W., (1996a), 'Extruder modelling: A comparison of two paradigms', Proc. of the UKACC Int. Conf. on Control - CONTROL-96, Exeter, UK, Vol.2, pp.734-739.
13. McKay,B., Elsey,J., Willis,M.J. and Barton,G.W., (1996b), 'Evolving input-output models of chemical process systems using genetic programming', Proc. IFAC, 13th World Congress '96, San Francisco, USA, Vol.M, pp.277-282.
14. McKay.B., Willis, M.J., Barton, G., (1997), 'Steady_state modelling of chemical process systems using genetic programming', Accepted for publication in Comp. and Chem. Eng.
15. Ralston, A. and Rabinowitz, P. (1978) 'A first course in numerical analysis', McGraw-Hill, Inc.
16. Watson, A.H., Parmee, I.C., (1996), 'Identification of fluid systems using genetic programming', Proc. of the Second Online Workshop on Evolutionary Computation - WEC2 , pp.45-48.
17. Willis, M.J., Hiden, H.G. and Montague, G.A. (1997) 'Developing inferential estimation algorithms using Genetic Programming', Banff, Canada