Adaptive rule-based optimisation of combustion in multiple burner installations

  • Terence C. Fogarty
Part of the Lecture Notes in Computer Science book series (LNCS, volume 462)


Genetic Algorithm Expert System Combustion Control Incremental Version Boiler Plant 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Bainbridge,L. (1974) "Analysis of verbal protocols from a process control task." in ‘The Human Operator in Process Control', Edwards and Lees (Eds).Google Scholar
  2. Caruana,R.A. and Schaffer,J.D. (1988) "Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms", 5th. International Conference on Machine Learning, Michigan.Google Scholar
  3. Clocksin, W.F. and Mellish, C.S. (1984) "Programming in Prolog", Springer Verlag, New York.Google Scholar
  4. Coe,D. (1987) "Improving small boiler combustion control." Control and Instrumentation, March, pp.33–35.Google Scholar
  5. Cremer, C. and Hertz,J. (1988) "A fast control algorithm for near optimal control of industrial combustion", Proceedings of IEE Conference: Control-88, Oxford.Google Scholar
  6. Darius,I.H. (1987) "Rule based control, a new tool." Proc. 2nd International Conference on Machine Control Systems, pp.121–128.Google Scholar
  7. DeJong, K. (1980) "Adaptive System Design: A Genetic Approach" in ‘IEEE Trans. on Systems, Man and Cybernetics', vol 10, no. 9. Sept., pp 566–574.Google Scholar
  8. Edmundson,J.T., Jenkins,D.P. and Mortimer,J. (1987) "Multiple Burner Stoichiometry Control and Efficiency Optimisation by Means of a Teleological, Heuristic, On-Line Expert System." Innovation in Process Energy Utilisation, IChemE, pp 47–60.Google Scholar
  9. Efstathiou,J. (1987) "Knowledge based systems for industrial control." Computer Aided Engineering Journal, February, pp.7–20.Google Scholar
  10. Fabinski, W. and Eckmann, F. (1987) "Combustion Optimisation of an Industrial Boiler for Oil-based and Gaseous Fuels by Means of Cyclical Single Burner Co-adjustment." VGB Kraftwerkstechnik, Volume 67, No. 2, February, 143–149.Google Scholar
  11. Feigenbaum,E.A. and McCorduck,P. (1983) "Fifth Generation: Artificial Intelligence and Japan's Computer Challenge to the World".Google Scholar
  12. Fitzpatrick, J.M. and Grefenstette, J.J (1988) "Genetic Algorithms in Noisy Environments", in ‘Machine Learning', vol 3, pp 95–99.Google Scholar
  13. Fogarty, T.C. (1988a) "Rule-Based Optimisation of Combustion in Multiple Burner Furnaces and Boiler Plants", in ‘Engineering Applications of Artificial Intelligence', vol 1, no. 3, September pp 203–209.Google Scholar
  14. Fogarty,T.C. (1988b) "Adapting to Noise", in the proceedings of the IFAC Workshop on Artificial Intelligence in Real-Time Control, Swansea, September, pp 161–6.Google Scholar
  15. Fogarty,T.C. (1989a) "The Machine Learning of Rules for Combustion Control in Multiple Burner Installations", in the Proceedings of the 5th IEEE Conference on Artificial Intelligence Applications, Miami, March, pp 215–221.Google Scholar
  16. Fogarty,T.C. (1989b) "Varying the Probability of Mutation in the Genetic Algorithm", ICGA-89: the Third International Conference on Genetic Algorithms and their Applications, Fairfax, Virginia, June, 1989, pp 104–109.Google Scholar
  17. Fogarty,T.C. (1989c) "An Incremental Genetic Algorithm for Real-time Learning", Sixth Int. Workshop on Machine Learning, Cornell, New York, June, 1989, pp 416–419.Google Scholar
  18. Fogarty,T.C. (1989d) "Learning New Rules and Adapting Old Ones with the Genetic Algorithm", in the proceedings of AIENG-89: Applications of Artificial Intelligence in Engineering, Cambridge, July, published as "Artificial Intelligence in Manufacturing" edited by G.Rzevski, Springer-Verlag, pp 275–290.Google Scholar
  19. Fogarty,T.C. (1989e) "Adapting a Rule-base to Optimise Combustion in a Double Burner Boiler", in the proceedings of the IEE Second International Conference on Software Engineering for Real Time Systems, Cirencester, U.K., September, 1989, pp 106–110.Google Scholar
  20. Fogarty, T.C. (1990) "A Prolog Simulation for Combustion Control", in "Simulation", February 1990, Vol.54, No.2, pp 101–109.Google Scholar
  21. Gaines,B.R. (1987) "How Do Experts Aquire Expertise?", in ‘Proc. of AAAI Workshop on Knowledge Aquisition for Knowledge-Based Systems, (Banff)'.Google Scholar
  22. Goldberg,D.E. (1989) "Genetic Algorithms in Search, Optimisation and Machine Learning." Addison Wesley.Google Scholar
  23. Grefenstette, J.J. (1986) "Optimisation of Control Parameters for Genetic Algorithms", in ‘IEEE Trans. on Systems, Man and Cybernetics", vol 16, no. 1. Jan./Feb., pp 122–128.Google Scholar
  24. Highham, E.H. (1986) "A different approach to self tuning in process controllers — the case for introducing an expert system." Measurement and Control, vol.19, November, pp.253–257.Google Scholar
  25. Holland, J.H. (1962) "Outline of a Logical Theory of Adaptive Systems." Journal of the Association for Computing Machinery, volume 3, pp 297–314.Google Scholar
  26. Holland,J.H. (1975) "Adaptation in Natural and Artificial Systems".Google Scholar
  27. Holland,J.H. (1987) "Escaping Brittleness: The Possibilities of General-Purpose Learning Algorithms Applied to Parallel Rule-Based Systems." in ‘Machine Learning: An Artificial Intelligence Approach" Volume 2, eds. Michalski R.S., Carbonell, J.G. and Mitchell, T.M., pp 593–623.Google Scholar
  28. Jeffreys,S. (1987) "Software simplifies batch control design." Control Engineering, September, pp.107–109.Google Scholar
  29. Kowalski,R. (1979) "Logic for Problem Solving", North Holland.Google Scholar
  30. Langridge,S. (1987) "Combustion control in process heaters." Control and Instumentation, March, pp.37–39.Google Scholar
  31. McFadden,R.W. "Multiparameter trim: it pays in combustion control" InTech, May, pp.57–61.Google Scholar
  32. Minsky,M. and Papert,S. (1969) "Peceptrons." MIT Press.Google Scholar
  33. Pettit, E.J. and Pettit, M.J. (1987) "Analysis of the Performance of a genetic algorithm based system for message classification in noisy environments" in ‘International Journal of Man-Machine Studies', volume 27, pp 205–220.Google Scholar
  34. Petite,E.J. and Swigger,K.M. (1983) "An Analysis of Genetic-based Pattern and Cognitive-based Component Tracking Models of Adaption", AAAI-83, Procs.of the American Association for Artificial Intelligence, pp 327–323Google Scholar
  35. Presser,C. and SemerJian,H.G. (1984) "Evaluation of Industrial Combustion Control Systems." U.S. Department of Energy.Google Scholar
  36. Rosenblatt, F. (1958) "The Peceptron: A Probabilistic Model for Information Storage and Organisation in the Brain." Psychological Review, Volume 65, pp 386–407.Google Scholar
  37. Sargeant,R.A.E. (1986) "Expert systems for process control rooms." Measurement + Control, November, pp 239–244.Google Scholar
  38. Selfridge,O.G. (1959) "Pandemonium: A Paradigm for Learning." Proceedings of the Symposium for Mechanization of Thought Processes, Blake, D. and Uttley, A. (Eds), pp 105–127.Google Scholar
  39. Slevin,M.J. (1984) "Boiler oxygen trim control." Heating/Piping/Air Conditioning, November, pp.95–98.Google Scholar
  40. Sunderland,R.H. (1985) "Improving combustion efficiency by multivariable analysis and control." Measurement + Control, Volume 18, July/August.Google Scholar
  41. Syswerda,G., 1989, "Uniform Crossover in Genetic Algorithms", in "Proceedings of the Third International Conference on Genetic Algorithms", pp 2–9.Google Scholar
  42. Wakefield,A.C. (1986) "An Expert System for Methane Flame Stoicio-metric Control." MSc Dissertation, Bristol Polytechnic.Google Scholar
  43. Whitley,D. and Knuth,J., 1988, "Genitor: A Different Genetic Algorithm", in ‘Proceedings of the 1988 Rocky Mountain Conference on Artificial Intelligence".Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • Terence C. Fogarty
    • 1
  1. 1.The Transputer CentreBristol PolytechnicBristolUK

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