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Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F14%3A43871745%21RIV15-MSM-28140___
rdf:type
n15:Vysledek skos:Concept
dcterms:description
In this paper, the novel concept of particle performance evaluation is introduced into the chaos driven particle swarm optimization algorithm (PSO). The discrete chaotic dissipative standard map is used here as a chaotic pseudo-random number generator (CPRNG). In the novel proposed particle performance evaluation method the contribution of each particle to the process of obtaining the global best solution is investigated periodically. As a reaction to the possible poor performance of a particular particle, its velocity calculation is thereafter altered. Through utilization of this approach the convergence speed and overall performance of PSO algorithm driven by CPRNG based on Dissipative map is improved. The proposed method is tested on the CEC13 benchmark set with two different dimension settings. In this paper, the novel concept of particle performance evaluation is introduced into the chaos driven particle swarm optimization algorithm (PSO). The discrete chaotic dissipative standard map is used here as a chaotic pseudo-random number generator (CPRNG). In the novel proposed particle performance evaluation method the contribution of each particle to the process of obtaining the global best solution is investigated periodically. As a reaction to the possible poor performance of a particular particle, its velocity calculation is thereafter altered. Through utilization of this approach the convergence speed and overall performance of PSO algorithm driven by CPRNG based on Dissipative map is improved. The proposed method is tested on the CEC13 benchmark set with two different dimension settings.
dcterms:title
Chaos Driven Particle Swarm Optimization with Basic Particle Performance Evaluation – An Initial Study Chaos Driven Particle Swarm Optimization with Basic Particle Performance Evaluation – An Initial Study
skos:prefLabel
Chaos Driven Particle Swarm Optimization with Basic Particle Performance Evaluation – An Initial Study Chaos Driven Particle Swarm Optimization with Basic Particle Performance Evaluation – An Initial Study
skos:notation
RIV/70883521:28140/14:43871745!RIV15-MSM-28140___
n3:aktivita
n5:S n5:P
n3:aktivity
P(ED2.1.00/03.0089), P(EE.2.3.20.0072), P(GA13-08195S), S
n3:dodaniDat
n11:2015
n3:domaciTvurceVysledku
n6:3433390 n6:9388486 n6:3484432
n3:druhVysledku
n20:D
n3:duvernostUdaju
n13:S
n3:entitaPredkladatele
n21:predkladatel
n3:idSjednocenehoVysledku
6863
n3:idVysledku
RIV/70883521:28140/14:43871745
n3:jazykVysledku
n17:eng
n3:klicovaSlova
PSO, Chaos, evolutionary algorithms
n3:klicoveSlovo
n4:Chaos n4:PSO n4:evolutionary%20algorithms
n3:kontrolniKodProRIV
[6DF035FF91BB]
n3:mistoKonaniAkce
Ho Chi Minh City
n3:mistoVydani
Heidelberg
n3:nazevZdroje
Proceedings of the 13th IFIP TC8 International Conference
n3:obor
n12:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n8:ED2.1.00%2F03.0089 n8:GA13-08195S n8:EE.2.3.20.0072
n3:rokUplatneniVysledku
n11:2014
n3:tvurceVysledku
Šenkeřík, Roman Zelinka, Ivan Pluháček, Michal
n3:typAkce
n18:WRD
n3:zahajeniAkce
2014-11-05+01:00
s:issn
0302-9743
s:numberOfPages
10
n14:hasPublisher
Springer-Verlag. Berlin
n10:isbn
978-3-662-45236-3
n19:organizacniJednotka
28140