Chaos Synthesis by Evolutionary Algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F10%3A00340465" target="_blank" >RIV/67985556:_____/10:00340465 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/10:00167224 RIV/61989100:27240/10:86075797
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Chaos Synthesis by Evolutionary Algorithms
Original language description
This chapter introduces the notion of chaos synthesis by means of evolutionary algorithms and develops a new method for chaotic systems synthesis. This method is similar to genetic programming and grammatical evolution and is applied alongside evolutionary algorithms: differential evolution, self organizingmigrating, genetic algorithm, simulated annealing and evolutionary strategies. The aim of this investigation is to synthesize new and ?simple chaotic systems based on some elements contained in a pre-chosen existing chaotic system and a properly defined cost function. The investigation consists of two case studies based on the aforementioned evolutionary algorithms in various versions. For all algorithms, 100 simulations of chaos synthesis were repeated and then averaged to guarantee the reliability and robustness of the proposed method. The most significant results are carefully selected, visualized and commented in this chapter.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F08%2F0186" target="_blank" >GA102/08/0186: Algorithms for Complex Systems Analysis and Control Design</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Evolutionary Algorithms and Chaotic Systems
ISBN
978-3-642-10706-1
Number of pages of the result
38
Pages from-to
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Number of pages of the book
521
Publisher name
Springer-Verlag
Place of publication
Berlin
UT code for WoS chapter
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