Evolutionary synchronization of chaotic systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A00001067" target="_blank" >RIV/70883521:28140/10:00001067 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-10707-8_12" target="_blank" >http://dx.doi.org/10.1007/978-3-642-10707-8_12</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-10707-8_12" target="_blank" >10.1007/978-3-642-10707-8_12</a>

Result language
angličtina
Original language name
Evolutionary synchronization of chaotic systems
Original language description
This chapter introduces a simple investigation on deterministic chaos synchronization by means of selected evolutionary techniques. Five evolutionary algorithms has been used for chaos synchronization here: differential evolution, self-organizing migrating algorithm, genetic algorithm, simulated annealing and evolutionary strategies in a total of 15 versions. Experiments in this chapter has been done with two different coupled systems (master ? slave) ? Rössler-Lorenz and Lorenz-Lorenz. The main aim ofthis chapter was to show that evolutionary algorithms, under certain conditions, are capable of synchronization of, at least, simple chaotic systems, when the cost function is properly defined as well as the parameters of selected evolutionary algorithm.This chapter consists of two different case studies. For all algorithms each simulation was 100 times repeated to show and check the robustness of proposed methods and experiment configurations.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BD - Information theory
OECD FORD branch
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Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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