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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • Volume of the periodical

  • Issue of the periodical within the volume

    8. září 2023

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    16

  • Pages from-to

  • UT code for WoS article

    001060863500001

  • EID of the result in the Scopus database

    2-s2.0-85170569522