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 editors: Burkotová, Jana; Aghaei Pour, Pouya; Krátký, Tomáš; Miettinen, Kaisa

Journal or series: Engineering Optimization

ISSN: 0305-215X

eISSN: 1029-0273

Publication year: 2023

Publication date: 08/09/2023

Volume: Early online

Publisher: Taylor & Francis

Publication country: United Kingdom

Publication language: English

DOI: https://doi.org/10.1080/0305215x.2023.2247369

Publication open access: Openly available

Publication channel open access: Partially 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.

Keywords: multi-objective optimisation; computational science; simulation; optimisation

Free keywords: multiobjective evolutionary optimization; computational costinteractive methods; CFD simulations; pump hydraulic design

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2023

JUFO rating: 1