A1 Journal article (refereed)
An interactive surrogate-based method for computationally expensive multiobjective optimisation (2019)


Tabatabaei, M., Hartikainen, M., Sindhya, K., Hakanen, J., & Miettinen, K. (2019). An interactive surrogate-based method for computationally expensive multiobjective optimisation. Journal of the Operational Research Society, 70(6), 898-914. https://doi.org/10.1080/01605682.2018.1468860


JYU authors or editors


Publication details

All authors or editorsTabatabaei, Mohammad; Hartikainen, Markus; Sindhya, Karthik; Hakanen, Jussi; Miettinen, Kaisa

Journal or seriesJournal of the Operational Research Society

ISSN0160-5682

eISSN1476-9360

Publication year2019

Volume70

Issue number6

Pages range898-914

PublisherPalgrave Macmillan Ltd.

Publication countryUnited Kingdom

Publication languageEnglish

DOIhttps://doi.org/10.1080/01605682.2018.1468860

Publication open accessOpenly available

Publication channel open accessPartially open access channel

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/64164


Abstract

Many disciplines involve computationally expensive multiobjective optimisation problems. Surrogate-based methods are commonly used in the literature to alleviate the computational cost. In this paper, we develop an interactive surrogate-based method called SURROGATE-ASF to solve computationally expensive multiobjective optimisation problems. This method employs preference information of a decision-maker. Numerical results demonstrate that SURROGATE-ASF efficiently provides preferred solutions for a decision-maker. It can handle different types of problems involving for example multimodal objective functions and nonconvex and/or disconnected Pareto frontiers.


Keywordsmathematical optimisationmulti-objective optimisation

Free keywordsmultiple criteria decision-making (MCDM); interactive methods; computational cost; black-box functions; metamodeling techniques; achievement scalarising function


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Ministry reportingYes

Reporting Year2019

JUFO rating2


Last updated on 2024-08-01 at 17:25