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Statements

Subject Item
n2:RIV%2F00216305%3A26210%2F11%3APU92754%21RIV12-MSM-26210___
rdf:type
n16:Vysledek skos:Concept
dcterms:description
The purpose of the paper is to present an original stochastic programming approach based on the implementation of the decomposition algorithm for continuous casting problem. The uncertain parameters are modeled by random elements with discerete probability distributions. Therefore, the suitable model is a scenario-based stochastic program with two stages. Among the docomposition algorithms, we have chosen the progressive hedging algorithm (PHA) that is suitable for the case when nonlinear programs are related to scenarios. The example base on the real-world data is computed and results are discussed. The purpose of the paper is to present an original stochastic programming approach based on the implementation of the decomposition algorithm for continuous casting problem. The uncertain parameters are modeled by random elements with discerete probability distributions. Therefore, the suitable model is a scenario-based stochastic program with two stages. Among the docomposition algorithms, we have chosen the progressive hedging algorithm (PHA) that is suitable for the case when nonlinear programs are related to scenarios. The example base on the real-world data is computed and results are discussed.
dcterms:title
Decomposition Approach Applied to Stochastic Optimization of Continuous Steel Casting Decomposition Approach Applied to Stochastic Optimization of Continuous Steel Casting
skos:prefLabel
Decomposition Approach Applied to Stochastic Optimization of Continuous Steel Casting Decomposition Approach Applied to Stochastic Optimization of Continuous Steel Casting
skos:notation
RIV/00216305:26210/11:PU92754!RIV12-MSM-26210___
n16:predkladatel
n20:orjk%3A26210
n3:aktivita
n6:S n6:P n6:Z
n3:aktivity
P(1M06047), P(GA106/08/0606), P(GA106/09/0940), P(GAP107/11/1566), S, Z(MSM0021630519)
n3:dodaniDat
n11:2012
n3:domaciTvurceVysledku
n5:5419174 n5:5403642 n5:1286943
n3:druhVysledku
n18:D
n3:duvernostUdaju
n4:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
193059
n3:idVysledku
RIV/00216305:26210/11:PU92754
n3:jazykVysledku
n14:eng
n3:klicovaSlova
continuous casting, scenario-based stochastic program, progressive hedging algorithm, GAMS
n3:klicoveSlovo
n10:progressive%20hedging%20algorithm n10:continuous%20casting n10:GAMS n10:scenario-based%20stochastic%20program
n3:kontrolniKodProRIV
[3242B5B855CA]
n3:mistoKonaniAkce
Brno University of Technology
n3:mistoVydani
Brno
n3:nazevZdroje
MENDEL 2011 17th International Conference on Soft Computing (sborník přednášek)
n3:obor
n21:BB
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n15:1M06047 n15:GAP107%2F11%2F1566 n15:GA106%2F09%2F0940 n15:GA106%2F08%2F0606
n3:rokUplatneniVysledku
n11:2011
n3:tvurceVysledku
Klimeš, Lubomír Štětina, Josef Popela, Pavel
n3:typAkce
n23:WRD
n3:wos
000302647900050
n3:zahajeniAkce
2011-06-15+02:00
n3:zamer
n8:MSM0021630519
s:numberOfPages
6
n17:hasPublisher
Vysoké učení technické v Brně
n19:isbn
978-80-214-4302-0
n22:organizacniJednotka
26210