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Statements

Subject Item
n2:RIV%2F61989100%3A27740%2F13%3A86087219%21RIV14-TA0-27740___
rdf:type
skos:Concept n11:Vysledek
dcterms:description
In this paper, Differential Evolution (DE) is used in the task of optimization of batch reactor geometry. The novality of the approach is that the six selected discrete dissipative chaotic maps are used as the chaotic pseudo random number generator to drive the mutation and crossover process in the DE. The optimized results obtained are compared with original reactor geometry and process parameters adjustment. The statistical analysis of the results given by six versions of chaos driven DE is compared with canonical DE strategy. In this paper, Differential Evolution (DE) is used in the task of optimization of batch reactor geometry. The novality of the approach is that the six selected discrete dissipative chaotic maps are used as the chaotic pseudo random number generator to drive the mutation and crossover process in the DE. The optimized results obtained are compared with original reactor geometry and process parameters adjustment. The statistical analysis of the results given by six versions of chaos driven DE is compared with canonical DE strategy.
dcterms:title
Investigation on the Differential Evolution Driven by Selected Six Chaotic Systems in the Task of Reactor Geometry Optimization Investigation on the Differential Evolution Driven by Selected Six Chaotic Systems in the Task of Reactor Geometry Optimization
skos:prefLabel
Investigation on the Differential Evolution Driven by Selected Six Chaotic Systems in the Task of Reactor Geometry Optimization Investigation on the Differential Evolution Driven by Selected Six Chaotic Systems in the Task of Reactor Geometry Optimization
skos:notation
RIV/61989100:27740/13:86087219!RIV14-TA0-27740___
n11:predkladatel
n12:orjk%3A27740
n3:aktivita
n14:S n14:P
n3:aktivity
P(ED2.1.00/03.0089), P(EE.2.3.20.0072), P(GA13-08195S), P(TE01020197), S
n3:dodaniDat
n20:2014
n3:domaciTvurceVysledku
n10:3433390
n3:druhVysledku
n6:D
n3:duvernostUdaju
n19:S
n3:entitaPredkladatele
n21:predkladatel
n3:idSjednocenehoVysledku
81154
n3:idVysledku
RIV/61989100:27740/13:86087219
n3:jazykVysledku
n9:eng
n3:klicovaSlova
Differential evolution, deterministic chaos, optimization, batch reactor
n3:klicoveSlovo
n4:deterministic%20chaos n4:batch%20reactor n4:optimization n4:Differential%20evolution
n3:kontrolniKodProRIV
[525F44D20675]
n3:mistoKonaniAkce
Cancun
n3:mistoVydani
Danvers
n3:nazevZdroje
2013 IEEE Congress on Evolutionary Computation, CEC 2013
n3:obor
n23:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
5
n3:projekt
n5:TE01020197 n5:ED2.1.00%2F03.0089 n5:GA13-08195S n5:EE.2.3.20.0072
n3:rokUplatneniVysledku
n20:2013
n3:tvurceVysledku
Kominkova Oplatkova, Zuzana Senkerik, Roman Pluhacek, Michal Zelinka, Ivan Davendra, Donald David
n3:typAkce
n13:WRD
n3:wos
000326235303013
n3:zahajeniAkce
2013-06-20+02:00
s:numberOfPages
8
n7:doi
10.1109/CEC.2013.6557946
n15:hasPublisher
IEEE
n18:isbn
978-1-4799-0454-9
n22:organizacniJednotka
27740