Abstract
In this paper, Differential Evolution (DE) is used for the evolutionary optimization of control of chaotic Lozi map system. The novality of the approach is that the identical selected discrete dissipative chaotic system is used as the chaotic pseudo random number generator to drive the mutation and crossover process in the DE. The optimization was performed for two types of case studies and developed cost functions.
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Senkerik, R., Pluhacek, M., Zelinka, I., Davendra, D., Oplatkova, Z.K., Jasek, R. (2014). Evolutionary Control of Chaotic Lozi Map by Means of Chaos Driven Differential Evolution. In: Zelinka, I., Duy, V., Cha, J. (eds) AETA 2013: Recent Advances in Electrical Engineering and Related Sciences. Lecture Notes in Electrical Engineering, vol 282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41968-3_38
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DOI: https://doi.org/10.1007/978-3-642-41968-3_38
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