Many-Objective Quality Measures

Afsar, Bekir; Fieldsend, Jonathan E.; Guerreiro, Andreia P.; Miettinen, Kaisa; Rojas Gonzalez, Sebastian; Sato, Hiroyuki

doi:10.1007/978-3-031-25263-1_5

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Afsar, B., Fieldsend, J. E., Guerreiro, A. P., Miettinen, K., Rojas Gonzalez, S., & Sato, H. (2023). Many-Objective Quality Measures. In D. Brockhoff, M. Emmerich, B. Naujoks, & R. Purshouse (Eds.), Many-Criteria Optimization and Decision Analysis : State-of-the-Art, Present Challenges, and Future Perspective (pp. 113-148). Springer. Natural Computing Series. https://doi.org/10.1007/978-3-031-25263-1_5

Päivämäärä

2023

Oppiaine

Laskennallinen tiede Multiobjective Optimization Group Päätöksen teko monitavoitteisesti Computational Science Multiobjective Optimization Group Decision analytics utilizing causal models and multiobjective optimization

Pääsyrajoitukset

Embargo päättyy: 2025-07-30Pyydä artikkeli tutkijalta

Tekijänoikeudet

A key concern when undertaking any form of optimisation is how to characterise the quality of the putative solution returned. In many-objective optimisation an added complication is that such measures are on a set of trade-off solutions. We present and discuss the commonly used quality measures for many-objective optimisation, which are a subset of those used in multi-objective optimisation. We discuss the computational aspects and theoretical properties of these measures, highlighting measures for both a posteriori and a priori approaches, where the latter incorporate preference information from a decision maker (DM). We also discuss open areas in this field and forms of many-objective optimisation which are relatively under-explored, and where appropriate quality measures are much less developed including challenges related to developing measures for interactive methods.

Julkaisija

Springer

Emojulkaisun ISBN

978-3-031-25262-4

Kuuluu julkaisuun

Many-Criteria Optimization and Decision Analysis : State-of-the-Art, Present Challenges, and Future Perspective

ISSN Hae Julkaisufoorumista

1619-7127

Asiasanat

päätöksenteko monitavoiteoptimointi laatu ongelmanratkaisu toimenpiteet mittarit (mittaus) kehittäminen

DOI

https://doi.org/10.1007/978-3-031-25263-1_5

URI

http://urn.fi/URN:NBN:fi:jyu-202309145104

Julkaisu tutkimustietojärjestelmässä

https://converis.jyu.fi/converis/portal/detail/Publication/184269258

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Kokoelmat

Informaatioteknologian tiedekunta [2297]
Matemaattis-luonnontieteellinen tiedekunta [6106]

Rahoittaja(t)

Suomen Akatemia

Rahoitusohjelmat(t)

Akatemiahanke, SA; Profilointi, SA

Lisätietoja rahoituksesta

This work was initiated during the MACODA: Many Criteria Optimisation and Decision Analysis Workshop at the Lorentz Center (Leiden, The Netherlands), 2019. We are grateful to the other participants of the workshop and the Lorentz Center for their support. Jonathan E. Fieldsend was supported in attending the MACODA workshop by Innovate UK [grant number 104400]. Bekir Afsar’s research was funded by ... showmore

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