B3 Non-refereed conference proceedings
KaKaRaKe - User-Friendly Visualization for Multiobjective Optimization with High-Dimensional Objective Vectors (2020)


Dächert, Kerstin; Klamroth, Kathrin; Miettinen, Kaisa; Steuer, Ralph E. (2020). KaKaRaKe - User-Friendly Visualization for Multiobjective Optimization with High-Dimensional Objective Vectors. In Fonseca, Carlos M.; Klamroth, Kathrin; Rudolph, Günter; Wiecek, Margaret M. (Eds.) Scalability in Multiobjective Optimization (Dagstuhl Seminar 20031), Dagstuhl Reports. Dagstuhl Publishing 10 (1), 97-103. https://drops.dagstuhl.de/opus/volltexte/2020/12401/pdf/dagrep_v010_i001_p052_20031.pdf


JYU authors or editors


Publication details

All authors or editors: Dächert, Kerstin; Klamroth, Kathrin; Miettinen, Kaisa; Steuer, Ralph E.

Parent publication: Scalability in Multiobjective Optimization (Dagstuhl Seminar 20031)

Parent publication editors: Fonseca, Carlos M.; Klamroth, Kathrin; Rudolph, Günter; Wiecek, Margaret M.

Journal or series: Dagstuhl Reports

eISSN: 2192-5283

Publication year: 2020

Volume: 10

Issue number: 1

Pages range: 97-103

Publisher: Dagstuhl Publishing

Publication country: Germany

Publication language: English

Persistent website address: https://drops.dagstuhl.de/opus/volltexte/2020/12401/pdf/dagrep_v010_i001_p052_20031.pdf

Open Access: Publication published in an open access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/71152


Keywords: multivariable methods; decision making; decision support systems; visualisation


Contributing organizations


Ministry reporting: Yes


Last updated on 2020-14-07 at 09:32