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KLIMEŠ, L. POPELA, P. ŠTĚTINA, J.
Originální název
Decomposition Approach Applied to Stochastic Optimization of Continuous Steel Casting
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
continuous casting, scenario-based stochastic program, progressive hedging algorithm, GAMS
Autoři
KLIMEŠ, L.; POPELA, P.; ŠTĚTINA, J.
Rok RIV
2011
Vydáno
15. 6. 2011
Nakladatel
BUT
Místo
Brno
ISBN
978-80-214-4302-0
Kniha
MENDEL 2011 17th International Conference on Soft Computing (sborník přednášek)
Edice
první
Strany od
314
Strany do
319
Strany počet
6
BibTex
@inproceedings{BUT36996, author="Lubomír {Klimeš} and Pavel {Popela} and Josef {Štětina}", title="Decomposition Approach Applied to Stochastic Optimization of Continuous Steel Casting", booktitle="MENDEL 2011 17th International Conference on Soft Computing (sborník přednášek)", year="2011", series="první", pages="314--319", publisher="BUT", address="Brno", isbn="978-80-214-4302-0" }