Numerical Modelling and Optimization Including Stochastic Approach in Engineering Problems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F11%3APU91818" target="_blank" >RIV/00216305:26210/11:PU91818 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Numerical Modelling and Optimization Including Stochastic Approach in Engineering Problems

Popis výsledku v původním jazyce

The purpose of the article is to introduce engineers to stochastic modelling approaches. In particular, stochastic optimization approach, which takes into account randomness and uncertainty of given parameters in a particular model, is described. Further, a need of their usage and resulting benefits in engineering problems are discussed. The advantages of that approach are listed and compared with disadvantages with respect to ordinary deterministic modelling approaches that include only fully-known parameters without embracing uncertainty and randomness although they are naturally comprised in real engineering problems. Unfortunatelly, the omitting of randomness in assembled models and their solutions may lead to incorrect results that do not correspond to real outcomes. To solve these stochastic optimization problems, the effective decomposition method for solving scenario-based stochatic optimization programmes - progressive hedging algorithm - and its usage with the possibility of parallelism are introduced. The outline of using parallel impementation of the progressive hedging algorithm and stochastic optimization techniques in the continuous casting control problem are described and also references to other applications of stochastic programming approach in metallurgy and engineering are included.

Název v anglickém jazyce

Numerical Modelling and Optimization Including Stochastic Approach in Engineering Problems

Popis výsledku anglicky

The purpose of the article is to introduce engineers to stochastic modelling approaches. In particular, stochastic optimization approach, which takes into account randomness and uncertainty of given parameters in a particular model, is described. Further, a need of their usage and resulting benefits in engineering problems are discussed. The advantages of that approach are listed and compared with disadvantages with respect to ordinary deterministic modelling approaches that include only fully-known parameters without embracing uncertainty and randomness although they are naturally comprised in real engineering problems. Unfortunatelly, the omitting of randomness in assembled models and their solutions may lead to incorrect results that do not correspond to real outcomes. To solve these stochastic optimization problems, the effective decomposition method for solving scenario-based stochatic optimization programmes - progressive hedging algorithm - and its usage with the possibility of parallelism are introduced. The outline of using parallel impementation of the progressive hedging algorithm and stochastic optimization techniques in the continuous casting control problem are described and also references to other applications of stochastic programming approach in metallurgy and engineering are included.

Druh

D - Stať ve sborníku

CEP obor

JG - Hutnictví, kovové materiály

OECD FORD obor

—

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Sborník přednášek z konference Teorie a praxe výroby a zpracování oceli 2011

ISBN

978-80-87294-21-5

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

70-76

Název nakladatele

TANGER, s.r.o.

Místo vydání

Ostrava

Místo konání akce

Rožnov pod Radhoštěm

Datum konání akce

6. 4. 2011

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

—