About: Evolutionary Optimization of Chaos Control ? A New Approach     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Tento výzkum se zabývá optimalizací řízení deterministického chaosu pomocí evolučních algoritmů. Hlavním cílem této práce je ukázat, že evoluční algoritmy je možno použít k optimalizaci řízení chaosu a také je cílem ukázat nový přistup k řešení této problematiky a konstrukci nové účelové funkce fungující v režimu %22černá skříňka%22, tj. bez jakékoliv předchozí matematické analýzy systému, tudíž bez znalostí o přesné pozici žádaného stavu v chaotickém atraktoru. Jako model chaotického systému byl zvolen Henonův systém. Optimalizace byly provedeny několika způsoby pro různé cílové periodické orbity. Evoluční algoritus SOMA (Self-Organizing Migrating Algorithm) byl zde použit ve čtyřech verzích. Pro každou verzi byly veškeré simulace několikrát zopakovány, aby tak bylo možno dokázat účelnost a robustnost zvolené metody a účelové funkce. (cs)
  • This research deals with optimization of the control of chaos by means of evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of the optimization of chaos control and to show a new approach of solving this problem and constructing new cost functions operating in ?blackbox mode? without previous exact mathematical analysis of the system, thus without knowledge of stabilizing target state. As a model of deterministic chaotic system, the two dimensional Henon map was used. The optimizations was realized in several ways, each one for another desired periodic orbit. The evolutionary algorithm Self-Organizing Migrating Algorithm (SOMA) was used in four versions. For each version, repeated simulations were conducted to outline the effectiveness and robustness of used method and cost function.
  • This research deals with optimization of the control of chaos by means of evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of the optimization of chaos control and to show a new approach of solving this problem and constructing new cost functions operating in ?blackbox mode? without previous exact mathematical analysis of the system, thus without knowledge of stabilizing target state. As a model of deterministic chaotic system, the two dimensional Henon map was used. The optimizations was realized in several ways, each one for another desired periodic orbit. The evolutionary algorithm Self-Organizing Migrating Algorithm (SOMA) was used in four versions. For each version, repeated simulations were conducted to outline the effectiveness and robustness of used method and cost function. (en)
Title
  • Evolutionary Optimization of Chaos Control ? A New Approach
  • Evoluční optimalizace řízení chaosu - nový přístup (cs)
  • Evolutionary Optimization of Chaos Control ? A New Approach (en)
skos:prefLabel
  • Evolutionary Optimization of Chaos Control ? A New Approach
  • Evoluční optimalizace řízení chaosu - nový přístup (cs)
  • Evolutionary Optimization of Chaos Control ? A New Approach (en)
skos:notation
  • RIV/70883521:28140/08:63507076!RIV09-GA0-28140___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/06/1132), Z(MSM7088352101)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 366958
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/08:63507076
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Chaos; control; optimization; evolutionary algorithms; parameter estimation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6283F9F153F7]
http://linked.open...v/mistoKonaniAkce
  • Nicosia, Cyprus
http://linked.open...i/riv/mistoVydani
  • Nicosia
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 22nd European Conference on Modelling and Simulation ECMS 2008
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Zelinka, Ivan
  • Šenkeřík, Roman
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • European Council of Modelling and Simulation
https://schema.org/isbn
  • 0-9553018-5-8
http://localhost/t...ganizacniJednotka
  • 28140
is http://linked.open...avai/riv/vysledek of
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 41 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software