Interactive multiobjective optimization of an extremely computationally expensive pump design problem
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Interactive multiobjective optimization of an extremely computationally expensive pump design problem
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20302 - Applied mechanics
Result continuities
Project
<a href="/en/project/EF17_049%2F0008408" target="_blank" >EF17_049/0008408: Hydrodynamic design of pumps</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Engineering optimization
ISSN
1029-0273
e-ISSN
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Volume of the periodical
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Issue of the periodical within the volume
8. září 2023
Country of publishing house
GB - UNITED KINGDOM
Number of pages
16
Pages from-to
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UT code for WoS article
001060863500001
EID of the result in the Scopus database
2-s2.0-85170569522