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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F13%3A86087201%21RIV14-TA0-27240___
rdf:type
n3:Vysledek skos:Concept
dcterms:description
A new promising strategy for the PSO (Particle swarm optimization) algorithm is proposed and described in this paper. This new strategy presents alternative way of assigning new velocity to each individual in particle swarm (population). This new multiple choice particle swarm optimization (MC-PSO) algorithm is tested on two different shifted test functions to show the performance on problems that are not constant in time. The promising results of this alternative strategy are compared with the not modified PSO version. A new promising strategy for the PSO (Particle swarm optimization) algorithm is proposed and described in this paper. This new strategy presents alternative way of assigning new velocity to each individual in particle swarm (population). This new multiple choice particle swarm optimization (MC-PSO) algorithm is tested on two different shifted test functions to show the performance on problems that are not constant in time. The promising results of this alternative strategy are compared with the not modified PSO version.
dcterms:title
Multiple Choice Strategy for PSO Algorithm – Performance Analysis on Shifted Test Functions Multiple Choice Strategy for PSO Algorithm – Performance Analysis on Shifted Test Functions
skos:prefLabel
Multiple Choice Strategy for PSO Algorithm – Performance Analysis on Shifted Test Functions Multiple Choice Strategy for PSO Algorithm – Performance Analysis on Shifted Test Functions
skos:notation
RIV/61989100:27240/13:86087201!RIV14-TA0-27240___
n3:predkladatel
n19:orjk%3A27240
n5:aktivita
n22:S n22:P
n5:aktivity
P(ED2.1.00/03.0089), P(EE.2.3.20.0072), P(GA13-08195S), P(TE01020197), S
n5:dodaniDat
n13:2014
n5:domaciTvurceVysledku
Davendra, Donald David
n5:druhVysledku
n18:D
n5:duvernostUdaju
n11:S
n5:entitaPredkladatele
n9:predkladatel
n5:idSjednocenehoVysledku
90136
n5:idVysledku
RIV/61989100:27240/13:86087201
n5:jazykVysledku
n17:eng
n5:klicovaSlova
PSO, Optimization, Evolutionary Algorithms, Swarm intelligence, Shifted test functions
n5:klicoveSlovo
n10:PSO n10:Swarm%20intelligence n10:Evolutionary%20Algorithms n10:Shifted%20test%20functions n10:Optimization
n5:kontrolniKodProRIV
[3A4A600AD745]
n5:mistoKonaniAkce
Alesund
n5:mistoVydani
[Norsko]
n5:nazevZdroje
27th European Conference on Modelling and Simulation ECMS 2013 : proceedings : May 27th - May 30th, 2013, Alesund, Norway
n5:obor
n6:IN
n5:pocetDomacichTvurcuVysledku
1
n5:pocetTvurcuVysledku
4
n5:projekt
n7:GA13-08195S n7:EE.2.3.20.0072 n7:ED2.1.00%2F03.0089 n7:TE01020197
n5:rokUplatneniVysledku
n13:2013
n5:tvurceVysledku
Pluhacek, Michal Davendra, Donald David Zelinka, Ivan Senkerik, Roman
n5:typAkce
n15:WRD
n5:zahajeniAkce
2013-05-27+02:00
s:numberOfPages
5
n12:doi
10.7148/2013-0393
n14:hasPublisher
European Council for Modelling and Simulation
n20:isbn
978-0-9564944-6-7
n21:organizacniJednotka
27240