Interactive multiobjective optimization of an extremely computationally expensive pump design problem

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F28645413%3A_____%2F23%3AN0000004" target="_blank" >RIV/28645413:_____/23:N0000004 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1080/0305215X.2023.2247369" target="_blank" >https://doi.org/10.1080/0305215X.2023.2247369</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/0305215X.2023.2247369" target="_blank" >10.1080/0305215X.2023.2247369</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Interactive multiobjective optimization of an extremely computationally expensive pump design problem

Popis výsledku v původním jazyce

The hydraulic design of a pump is a challenging optimization problem. It has multiple conflicting objective functions based on computationally very expensive (16–20 hours) numerical simulations, and simulation failures, meaning that simulation calls can be unsuccessful. In this article, a surrogate-assisted evolutionary interactive multiobjective optimization method is applied to designing a pump stator. A decision maker's preferences are iteratively incorporated into the solution process and the advantages of an interactive method are demonstrated in two areas: (1) reducing the computation time; and (2) finding a preferred solution that reflects the decision maker's preferences with a low cognitive load. The decision maker was satisfied with the interactive solution process and the final solution reflected his preferences well. Additionally, because he was familiar with the domain of the problem, the preferences he provided guided the search in directions where no failed simulations were encountered. Importantly, the applied method could save days of computation time.

Název v anglickém jazyce

Interactive multiobjective optimization of an extremely computationally expensive pump design problem

Popis výsledku anglicky

The hydraulic design of a pump is a challenging optimization problem. It has multiple conflicting objective functions based on computationally very expensive (16–20 hours) numerical simulations, and simulation failures, meaning that simulation calls can be unsuccessful. In this article, a surrogate-assisted evolutionary interactive multiobjective optimization method is applied to designing a pump stator. A decision maker's preferences are iteratively incorporated into the solution process and the advantages of an interactive method are demonstrated in two areas: (1) reducing the computation time; and (2) finding a preferred solution that reflects the decision maker's preferences with a low cognitive load. The decision maker was satisfied with the interactive solution process and the final solution reflected his preferences well. Additionally, because he was familiar with the domain of the problem, the preferences he provided guided the search in directions where no failed simulations were encountered. Importantly, the applied method could save days of computation time.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20302 - Applied mechanics

Projekt

<a href="/cs/project/EF17_049%2F0008408" target="_blank" >EF17_049/0008408: Hydrodynamický design čerpadel</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Engineering optimization

ISSN

1029-0273

e-ISSN

—

Svazek periodika

—

Číslo periodika v rámci svazku

8. září 2023

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

16

Strana od-do

—

Kód UT WoS článku

001060863500001

EID výsledku v databázi Scopus

2-s2.0-85170569522