Abstract
In this paper, Differential Evolution (DE) is used in the task of optimization of batch reactor geometry. The novality of the approach is that a discrete chaotic Lozi map is used as the chaotic pseudo random number generator to drive the mutation and crossover process in DE. The results obtained are compared with original reactor geometry and process parameters adjustment. The statistical analysis of the results given by chaos driven DE is compared with canonical DE strategy. © 2013 Springer-Verlag.
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Senkerik, R., Davendra, D., Zelinka, I., Pluhacek, M., & Kominkova Oplatkova, Z. (2013). Chaos driven differential evolution with Lozi map in the task of chemical reactor optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7895 LNAI, pp. 56–66). https://doi.org/10.1007/978-3-642-38610-7_6
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