Advanced Targeting Cost Function Design For Evolutionary Optimization Of Control Of Logistic Equation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A63508862" target="_blank" >RIV/70883521:28140/10:63508862 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Advanced Targeting Cost Function Design For Evolutionary Optimization Of Control Of Logistic Equation
Original language description
This research deals with the optimization of the control of chaos by means of evolutionary algorithms. This work is aimed on an explanation of how to use evolutionary algorithms (EAs) and how to properly define the advanced targeting cost function (CF) securing very fast and precise stabilization of desired state for any initial conditions. As a model of deterministic chaotic system, the one dimensional Logistic equation was used. The evolutionary algorithm Self-Organizing Migrating Algorithm (SOMA) wasused in four versions. For each version, repeated simulations were conducted to outline the effectiveness and robustness of used method and targeting CF.
Czech name
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Czech description
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Project
<a href="/en/project/GA102%2F09%2F1680" target="_blank" >GA102/09/1680: Control Algorithm Design by Means of Evolutionary Approach</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
The 3rd Global Conference on Power Control and Optimization
ISBN
978-0-7354-0785-5
ISSN
0094-243X
e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
University of Technology
Place of publication
Sarawak
Event location
Gold Coast, Australia
Event date
Feb 4, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000283210500044

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