Chaos Driven Differential Evolution in the Task of Chaos Control Optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A63508864" target="_blank" >RIV/70883521:28140/10:63508864 - isvavai.cz</a>
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 Driven Differential Evolution in the Task of Chaos Control Optimization
Original language description
This paper focuses on the application of chaos driven Differential Evolution to the chaos control optimization problem. The focus of this paper is the embedding of chaotic systems in the form of the chaos number generator for Differential Evolution. Theaim of this paper is also to show extreme sensitivity of quality of results on the selection of evolutionary algorithm, setting-up of evolutionary algorithm, construction of cost function and any small change in its design. As a model of deterministic chaotic system, the two dimensional Henon map was used. Two complex targeting cost functions were tested in this work. The optimization was realized in several ways, each one for another desired behavior of system. Repeated simulations demonstrated the robustness of the used method and constructed cost function. Finally, the obtained results are compared with evolutionary algorithms, Self-Organizing Migrating Algorithm (SOMA) and canonical Differential Evolution.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F09%2F1680" target="_blank" >GA102/09/1680: Control Algorithm Design by Means of Evolutionary Approach</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
Article name in the collection
2010 IEEE World congress on Computational Intelligence
ISBN
978-1-4244-6910-9
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
IEEE Control Systems Society
Place of publication
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Event location
Barcelona, Spain
Event date
Jan 1, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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