Bioreactor control by genetic programming

Authors:
Dimitris C. Dracopoulos;Riccardo Piccoli
Affiliations:
School of Electronics and Computer Science, University of Westminster, London, UK;School of Electronics and Computer Science, University of Westminster, London, UK
Venue:
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
Year:
2010

Citing 4
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Abstract

Genetic programming is applied to the problem of bioreactor control. This highly nonlinear problem has previously been suggested as one of the challenging benchmarks to explore new ideas for building automatic controllers. It is shown that the derived control law is successful in a number of test cases.