IRA-EMO : Interactive Method Using Reservation and Aspiration Levels for Evolutionary Multiobjective Optimization

Saborido, Rubén; Ruiz, Ana B.; Luque, Mariano; Miettinen, Kaisa

doi:10.1007/978-3-030-12598-1_49

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Saborido, R., Ruiz, A. B., Luque, M., & Miettinen, K. (2019). IRA-EMO : Interactive Method Using Reservation and Aspiration Levels for Evolutionary Multiobjective Optimization. In K. Deb, E. Goodman, C. A. C. Coello, K. Klamroth, K. Miettinen, S. Mostaghim, & P. Reed (Eds.), Evolutionary Multi-Criterion Optimization : 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings (pp. 618-630). Springer International Publishing. Lecture Notes in Computer Science, 11411. https://doi.org/10.1007/978-3-030-12598-1_49

Päivämäärä

2019

Oppiaine

Tietotekniikka Multiobjective Optimization Group Laskennallinen tiede Mathematical Information Technology Multiobjective Optimization Group Computational Science

Tekijänoikeudet

We propose a new interactive evolutionary multiobjective optimization method, IRA-EMO. At each iteration, the decision maker (DM) expresses her/his preferences as an interesting interval for objective function values. The DM also specifies the number of representative Pareto optimal solutions in these intervals referred to as regions of interest one wants to study. Finally, a real-life engineering three-objective optimization problem is used to demonstrate how IRA-EMO works in practice for finding the most preferred solution.

Julkaisija

Springer International Publishing

Emojulkaisun ISBN

978-3-030-12597-4

Konferenssi

International Conference on Evolutionary Multi-Criterion Optimization

Kuuluu julkaisuun

Evolutionary Multi-Criterion Optimization : 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings

ISSN Hae Julkaisufoorumista

0302-9743

Asiasanat

evolutionary multi-objective optimization reference point region of interest interactive methods mieltymykset monitavoiteoptimointi

DOI

https://doi.org/10.1007/978-3-030-12598-1_49

URI

http://urn.fi/URN:NBN:fi:jyu-201903071764

Julkaisu tutkimustietojärjestelmässä

https://converis.jyu.fi/converis/portal/detail/Publication/28954855

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Kokoelmat

Informaatioteknologian tiedekunta [2330]

Rahoittaja(t)

Suomen Akatemia

Rahoitusohjelmat(t)

Akatemiahanke, SA

Lisätietoja rahoituksesta

This research is funded by the Spanish Government (ECO2017-88883-R and ECO2017-90573-REDT), the Andalusian Regional Government (SEJ-532) and the Academy of Finland (project 287496). Ana B. Ruiz thanks the post-doctoral fellowship “Captación de Talento para la Investigación” at the Univ. of Málaga. The research is related to thematic research area DEMO (Univ. of Jyvaskyla).

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