Titlebook: Evolutionary Algorithms and Chaotic Systems; Ivan Zelinka,Sergej Celikovsky,Guanrong Chen Book 2010 Springer-Verlag Berlin Heidelberg 2010

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https://doi.org/10.1007/978-3-658-03219-7s. Real-time like behavior is specially defined and simulated with spatiotemporal chaos model based on mutually nonlineary joined n equations, so called Coupled Map Lattices. In total five evolutionary algorithms has been used for chaos control: differential evolution, self-organizingmigrating algor

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Methoden der Organisationsforschungle observers using Linear Matrix Inequalities (.) formulation. The objective is to estimate state variables of a multiple model subject to unknown inputs affecting both states and outputs of the system. Uncertainties affecting state matrices of the system are also considered for both continuous-time

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https://doi.org/10.1007/978-3-642-82631-3ral chaotic systems can be used to design cryptosystems with satisfactory properties. The chapter focuses on applying a typical spatiotemporal chaotic system, i.e., a coupled map lattice (CML) in cryptography. Multiple-output pseudo-random bit generators (PRBGs) based on CMLs with various constructi

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Erwartungsbildung ?konomischer Akteures method is similar to genetic programming and grammatical evolution and is applied alongside evolutionary algorithms: differential evolution, self-organizing migrating, genetic algorithm, simulated annealing and evolutionary strategies. The aim of this investigation is to synthesize new and “simple

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