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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F13%3A86083879%21RIV14-MSM-27240___
rdf:type
skos:Concept n12:Vysledek
dcterms:description
This contribution deals with a new algorithm – the Self-Organizing Migrating Algorithm (SOMA). The SOMA algorithm was used for static optimi- zation of a given chemical reactor with 5 inputs and 5 outputs. SOMA was used on this reactor for static optimization because the reactor, which was set by an ex- pert, shows poor performance behaviour. Participation consists of simulation re- sults, which shows how expertly set reactor behaves. Also set of static optimiza- tion simulations of given reactor is presented here including results and conclusions. This contribution deals with a new algorithm – the Self-Organizing Migrating Algorithm (SOMA). The SOMA algorithm was used for static optimi- zation of a given chemical reactor with 5 inputs and 5 outputs. SOMA was used on this reactor for static optimization because the reactor, which was set by an ex- pert, shows poor performance behaviour. Participation consists of simulation re- sults, which shows how expertly set reactor behaves. Also set of static optimiza- tion simulations of given reactor is presented here including results and conclusions.
dcterms:title
INVESTIGATION ON EVOLUTIONARY CONTROL AND OPTIMIZATION OF CHEMICAL REACTOR INVESTIGATION ON EVOLUTIONARY CONTROL AND OPTIMIZATION OF CHEMICAL REACTOR
skos:prefLabel
INVESTIGATION ON EVOLUTIONARY CONTROL AND OPTIMIZATION OF CHEMICAL REACTOR INVESTIGATION ON EVOLUTIONARY CONTROL AND OPTIMIZATION OF CHEMICAL REACTOR
skos:notation
RIV/61989100:27240/13:86083879!RIV14-MSM-27240___
n12:predkladatel
n13:orjk%3A27240
n3:aktivita
n19:S n19:P
n3:aktivity
P(EE.2.3.20.0072), S
n3:dodaniDat
n8:2014
n3:domaciTvurceVysledku
n17:3433390 n17:3031373
n3:druhVysledku
n22:D
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
81152
n3:idVysledku
RIV/61989100:27240/13:86083879
n3:jazykVysledku
n9:eng
n3:klicovaSlova
SOMA, migration, self-organization, evolutionary algorithms, global optimization, non-linear optimization, mixed discrete variables, penalty function.
n3:klicoveSlovo
n5:non-linear%20optimization n5:SOMA n5:self-organization n5:penalty%20function. n5:global%20optimization n5:migration n5:mixed%20discrete%20variables n5:evolutionary%20algorithms
n3:kontrolniKodProRIV
[F8A040815B40]
n3:mistoKonaniAkce
Ostrava
n3:mistoVydani
Berlin
n3:nazevZdroje
Advances in Intelligent Systems and Computing
n3:obor
n21:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n18:EE.2.3.20.0072
n3:rokUplatneniVysledku
n8:2013
n3:tvurceVysledku
Skanderová, Lenka Zelinka, Ivan
n3:typAkce
n10:WRD
n3:zahajeniAkce
2012-09-05+02:00
s:issn
2194-5357
s:numberOfPages
6
n20:hasPublisher
Springer-Verlag
n4:isbn
978-3-642-32921-0
n7:organizacniJednotka
27240