A1 Journal article (refereed)
Interactive multiobjective optimization of an extremely computationally expensive pump design problem (2023)


Burkotová, J., Aghaei Pour, P., Krátký, T., & Miettinen, K. (2023). Interactive multiobjective optimization of an extremely computationally expensive pump design problem. Engineering Optimization, Early online. https://doi.org/10.1080/0305215x.2023.2247369


JYU authors or editors


Publication details

All authors or editorsBurkotová, Jana; Aghaei Pour, Pouya; Krátký, Tomáš; Miettinen, Kaisa

Journal or seriesEngineering Optimization

ISSN0305-215X

eISSN1029-0273

Publication year2023

Publication date08/09/2023

VolumeEarly online

PublisherTaylor & Francis

Publication countryUnited Kingdom

Publication languageEnglish

DOIhttps://doi.org/10.1080/0305215x.2023.2247369

Publication open accessOpenly available

Publication channel open accessPartially open access channel

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/89087


Abstract

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.


Keywordsmulti-objective optimisationcomputational sciencesimulationoptimisation

Free keywordsmultiobjective evolutionary optimization; computational costinteractive methods; CFD simulations; pump hydraulic design


Contributing organizations


Ministry reportingYes

Reporting Year2023

Preliminary JUFO rating1


Last updated on 2024-25-02 at 19:45