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Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F13%3A43868734%21RIV14-MSM-28140___
rdf:type
skos:Concept n9:Vysledek
dcterms:description
In this paper, it is proposed the utilization of three different chaotic maps based number generators to enhance the performance of PSO algorithm with inertia weight. This initial study presents results of performance testing on several test functions. Results obtained for different chaotic generators are compared and briefly analyzed. In this paper, it is proposed the utilization of three different chaotic maps based number generators to enhance the performance of PSO algorithm with inertia weight. This initial study presents results of performance testing on several test functions. Results obtained for different chaotic generators are compared and briefly analyzed.
dcterms:title
Impact of Various Chaotic Maps on the Performance of Chaos Enhanced PSO Algorithm with Inertia Weight – an Initial Study Impact of Various Chaotic Maps on the Performance of Chaos Enhanced PSO Algorithm with Inertia Weight – an Initial Study
skos:prefLabel
Impact of Various Chaotic Maps on the Performance of Chaos Enhanced PSO Algorithm with Inertia Weight – an Initial Study Impact of Various Chaotic Maps on the Performance of Chaos Enhanced PSO Algorithm with Inertia Weight – an Initial Study
skos:notation
RIV/70883521:28140/13:43868734!RIV14-MSM-28140___
n9:predkladatel
n10:orjk%3A28140
n3:aktivita
n15:S n15:P
n3:aktivity
P(ED2.1.00/03.0089), S
n3:dodaniDat
n16:2014
n3:domaciTvurceVysledku
n5:9388486 n5:3484432 n5:3433390
n3:druhVysledku
n8:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
79088
n3:idVysledku
RIV/70883521:28140/13:43868734
n3:jazykVysledku
n13:eng
n3:klicovaSlova
Evolutionary algorithms, Particle swarm, Optimization, Swarm intelligence, Chaos
n3:klicoveSlovo
n6:Evolutionary%20algorithms n6:Particle%20swarm n6:Swarm%20intelligence n6:Chaos n6:Optimization
n3:kontrolniKodProRIV
[D675D59456DD]
n3:mistoKonaniAkce
Ostrava
n3:mistoVydani
Heidelberg
n3:nazevZdroje
Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems
n3:obor
n21:JD
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n19:ED2.1.00%2F03.0089
n3:rokUplatneniVysledku
n16:2013
n3:tvurceVysledku
Zelinka, Ivan Pluháček, Michal Šenkeřík, Roman
n3:typAkce
n17:WRD
n3:zahajeniAkce
2012-09-05+02:00
s:issn
2194-5357
s:numberOfPages
14
n22:doi
10.1007/978-3-642-33227-2_18
n23:hasPublisher
Springer-Verlag. Berlin
n12:isbn
978-3-642-33226-5
n14:organizacniJednotka
28140