Evolutionary synchronization of chaotic systems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10082130" target="_blank" >RIV/00216208:11320/10:10082130 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27240/10:86075799

Result on the web

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DOI - Digital Object Identifier

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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, selforganizing 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) - Rossler-Lorenz and Lorenz-Lorenz. The main aim of this 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

C - Chapter in a specialist book

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2010

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name

Evolutionary algoritms and chaotic systems

ISBN

978-3-642-10706-1

Number of pages of the result

25

Pages from-to

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Number of pages of the book

521

Publisher name

Springer

Place of publication

Berlin / Heideberg

UT code for WoS chapter

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