Abstract
In this paper, Differential Evolution (DE) is used in the task of optimization of a batch reactor. The novality of the approach is that a discrete chaotic dissipative standard map is used as the chaotic number generator to drive the mutation and crossover process in DE. The results obtained are compared with original reactor geometry and process parameters adjustment.
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Senkerik, R., Davendra, D., Zelinka, I., Oplatkova, Z., Pluhacek, M. (2013). Optimization of the Batch Reactor by Means of Chaos Driven Differential Evolution. In: Snášel, V., Abraham, A., Corchado, E. (eds) Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol 188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32922-7_10
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DOI: https://doi.org/10.1007/978-3-642-32922-7_10
Publisher Name: Springer, Berlin, Heidelberg
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