Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space
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
Julkaistu sarjassa
Lecture Notes in Computer ScienceToimittajat
Päivämäärä
2019Oppiaine
Ekologia ja evoluutiobiologiaTietotekniikkaEcology and Evolutionary BiologyMathematical Information TechnologyTekijänoikeudet
© Springer Nature Switzerland AG 2019
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
SpringerEmojulkaisun ISBN
978-3-030-13708-3Konferenssi
International Conference on Machine Learning, Optimization, and Data ScienceKuuluu julkaisuun
LOD 2018 : Machine Learning, Optimization, and Data Science. 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected PapersISSN Hae Julkaisufoorumista
0302-9743Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/28967579
Metadata
Näytä kaikki kuvailutiedotKokoelmat
Rahoittaja(t)
Suomen AkatemiaRahoitusohjelmat(t)
Akatemiahanke, SA; Profilointi, SALisätietoja 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.Lisenssi
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Data-driven interactive multiobjective optimization using cluster based surrogate in discrete decision space
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