Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space

Hakanen, Jussi; Malmberg, Jose; Ojalehto, Vesa; Eyvindson, Kyle

doi:10.1007/978-3-030-13709-0_9

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Hakanen, J., Malmberg, J., Ojalehto, V., & Eyvindson, K. (2019). Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space. In G. Nicosia, P. Pardalos, G. Giuffrida, R. Umeton, & V. Sciacca (Eds.), LOD 2018 : Machine Learning, Optimization, and Data Science. 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers (pp. 104-115). Springer. Lecture Notes in Computer Science, 11331. https://doi.org/10.1007/978-3-030-13709-0_9

Päivämäärä

2019

Oppiaine

Ekologia ja evoluutiobiologia Tietotekniikka Ecology and Evolutionary Biology Mathematical Information Technology

Tekijänoikeudet

In this paper, a clustering based surrogate is proposed to be used in offline data-driven multiobjective optimization to reduce the size of the optimization problem in the decision space. The surrogate is combined with an interactive multiobjective optimization approach and it is applied to forest management planning with promising results.

Julkaisija

Springer

Emojulkaisun ISBN

978-3-030-13708-3

Konferenssi

International Conference on Machine Learning, Optimization, and Data Science

Kuuluu julkaisuun

LOD 2018 : Machine Learning, Optimization, and Data Science. 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers

ISSN Hae Julkaisufoorumista

0302-9743

Asiasanat

data-driven optimization surrogates clustering preference information decision maker boreal forest management boreaalinen vyöhyke klusterit päätöksenteko optimointi metsänhoito

DOI

https://doi.org/10.1007/978-3-030-13709-0_9

URI

http://urn.fi/URN:NBN:fi:jyu-201911214960

Julkaisu tutkimustietojärjestelmässä

https://converis.jyu.fi/converis/portal/detail/Publication/28967579

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Kokoelmat

Informaatioteknologian tiedekunta [2330]
Matemaattis-luonnontieteellinen tiedekunta [6159]

Rahoittaja(t)

Suomen Akatemia

Rahoitusohjelmat(t)

Akatemiahanke, SA; Profilointi, SA

Lisätietoja rahoituksesta

This research was supported by the Academy of Finland (projects no. 311877 and 287496) and is related to the thematic research area DEMO of the University of Jyväskylä.

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