A2 Review article, Literature review, Systematic review
Assessing the Performance of Interactive Multiobjective Optimization Methods : A Survey (2021)


Afsar, B., Miettinen, K., & Ruiz, F. (2021). Assessing the Performance of Interactive Multiobjective Optimization Methods : A Survey. ACM Computing Surveys, 54(4), Article 85. https://doi.org/10.1145/3448301


JYU authors or editors


Publication details

All authors or editorsAfsar, Bekir; Miettinen, Kaisa; Ruiz, Francisco

Journal or seriesACM Computing Surveys

ISSN0360-0300

eISSN1557-7341

Publication year2021

Volume54

Issue number4

Article number85

PublisherAssociation for Computing Machinery (ACM)

Publication countryUnited States

Publication languageEnglish

DOIhttps://doi.org/10.1145/3448301

Publication open accessNot open

Publication channel open access

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/75333


Abstract

Interactive methods are useful decision-making tools for multiobjective optimization problems, because they allow a decision-maker to provide her/his preference information iteratively in a comfortable way at the same time as (s)he learns about all different aspects of the problem. A wide variety of interactive methods is nowadays available, and they differ from each other in both technical aspects and type of preference information employed. Therefore, assessing the performance of interactive methods can help users to choose the most appropriate one for a given problem. This is a challenging task, which has been tackled from different perspectives in the published literature. We present a bibliographic survey of papers where interactive multiobjective optimization methods have been assessed (either individually or compared to other methods). Besides other features, we collect information about the type of decision-maker involved (utility or value functions, artificial or human decision-maker), the type of preference information provided, and aspects of interactive methods that were somehow measured. Based on the survey and on our own experiences, we identify a series of desirable properties of interactive methods that we believe should be assessed.


Keywordsdecision makingoptimisationmulti-objective optimisationmethodsinteractivity

Free keywordsmultiobjective optimization problems, preference information, performance assessment, decision-makers, interactive methods


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Ministry reportingYes

Reporting Year2021

JUFO rating3


Last updated on 2024-10-03 at 20:17