A4 Article in conference proceedings
Desirable properties of performance indicators for assessing interactive evolutionary multiobjective optimization methods (2022)

Aghaei Pour, P., Bandaru, S., Afsar, B., & Miettinen, K. (2022). Desirable properties of performance indicators for assessing interactive evolutionary multiobjective optimization methods. In J. E. Fieldsend (Ed.), GECCO '22 : Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1803-1811). ACM. https://doi.org/10.1145/3520304.3533955

JYU authors or editors

Publication details

All authors or editors: Aghaei Pour, Pouya; Bandaru, Sunith; Afsar, Bekir; Miettinen, Kaisa

Parent publication: GECCO '22 : Proceedings of the Genetic and Evolutionary Computation Conference Companion

Parent publication editors: Fieldsend, Jonathan E.

Place and date of conference: Boston, Massachusetts, USA, 9.-13.7.2022

ISBN: 978-1-4503-9268-6

Publication year: 2022

Publication date: 19/07/2022

Pages range: 1803-1811

Number of pages in the book: 2345

Publisher: ACM

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1145/3520304.3533955

Publication open access: Openly available

Publication channel open access: Partially open access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/83772

Abstract

Interactive methods support decision makers in finding the most preferred solution in multiobjective optimization problems. They iteratively incorporate the decision maker's preference information to find the best balance among conflicting objectives. Several interactive methods have been developed in the literature. However, choosing the most suitable interactive method for a given problem can prove challenging and appropriate indicators are needed to compare interactive methods. Some indicators exist for a priori methods, where preferences are provided at the beginning of the solution process. We present some numerical experiments that illustrate why these indicators are not suitable for interactive methods. As the main contribution of this paper, we propose a set of desirable properties of indicators for assessing interactive methods as the first step of filling a gap in the literature. We discuss each property in detail and provide simple examples to illustrate their behavior.

Keywords: multi-objective optimisation; optimisation; decision making; decision support systems; interactivity; indicators

Free keywords: multiple criteria optimization; performance evaluation; performance assessment; interactive methods; metrics; performance; multi-criterion optimization and decision-making

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Ministry reporting: Yes

Reporting Year: 2022

JUFO rating: 1