Comparison of Evolutionary Algorithms in the Task of Chaos Control Optimization ? Extended study: Complex Targeting CF
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F09%3A63507979" target="_blank" >RIV/70883521:28140/09:63507979 - 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
Comparison of Evolutionary Algorithms in the Task of Chaos Control Optimization ? Extended study: Complex Targeting CF
Original language description
This work deals with the comparison of performance of two selected evolutionary algorithms (EA) in the task of optimization of the control of chaos. The main aim of this work is to show that evolutionary algorithms are capable of optimization of chaos control leading to satisfactory results and to show extreme sensitivity of quality of results on the selection of EA, setting-up of EA, construction of cost function (CF) and any small change in the CF 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 evolutionary algorithm or another desired periodic orbit and behavior of system. Theevolutionary algorithms, SOMA (Self-Organizing Migrating Algorithm) and DE (Differential Evolution) were used in several versions. For each version, simulations were repeated 50 times to show and check robustness of the used method and co
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%2F06%2F1132" target="_blank" >GA102/06/1132: Softcomputing in Control</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2009 IEEE Congress on Evolutionary Computation
ISBN
978-1-4244-2959-2
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
Reseach Publishing Service - Chennai
Event location
Trondheim, Norway
Event date
May 21, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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