Interactive multiobjective optimization from a learning perspective

V. Belton, J. Branke, P. Eskelinen, S. Greco, J. Molina, F. Ruiz, R. Slowinski, J. Branke (Editor), K. Deb (Editor), K. Mittinen (Editor), R. Slowinski (Editor)

Research output: Chapter in Book/Report/Conference proceedingChapter

25 Citations (Scopus)

Abstract

Learning is inherently connected with Interactive Multiobjective Optimization (IMO), therefore, a systematic analysis of IMO from the learning perspective is worthwhile. After an introduction to the nature and the interest of learning within IMO, we consider two complementary aspects of learning: individual learning, i.e., what the decision maker can learn, and model or machine learning, i.e., what the formal model can learn in the course of an IMO procedure. Finally, we discuss how one might investigate learning experimentally, in order to understand how to better support decision makers. Experiments involving a human decision maker or a virtual decision maker are considered.
LanguageEnglish
Title of host publicationMultiobjective Optimization Interactive and Evolutionary Approaches
Pages405-433
Number of pages28
Volume5252
DOIs
Publication statusPublished - 2008

Publication series

NameLecture Notes in Computer Science
PublisherTheoretical Computer Science and General

Fingerprint

Multiobjective optimization
Learning systems
Experiments

Keywords

  • interactive multiobjective optimization
  • learning perspective

Cite this

Belton, V., Branke, J., Eskelinen, P., Greco, S., Molina, J., Ruiz, F., ... Slowinski, R. (Ed.) (2008). Interactive multiobjective optimization from a learning perspective. In Multiobjective Optimization Interactive and Evolutionary Approaches (Vol. 5252, pp. 405-433). (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-540-88908-3_15
Belton, V. ; Branke, J. ; Eskelinen, P. ; Greco, S. ; Molina, J. ; Ruiz, F. ; Slowinski, R. ; Branke, J. (Editor) ; Deb, K. (Editor) ; Mittinen, K. (Editor) ; Slowinski, R. (Editor). / Interactive multiobjective optimization from a learning perspective. Multiobjective Optimization Interactive and Evolutionary Approaches. Vol. 5252 2008. pp. 405-433 (Lecture Notes in Computer Science).
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Belton, V, Branke, J, Eskelinen, P, Greco, S, Molina, J, Ruiz, F, Slowinski, R, Branke, J (ed.), Deb, K (ed.), Mittinen, K (ed.) & Slowinski, R (ed.) 2008, Interactive multiobjective optimization from a learning perspective. in Multiobjective Optimization Interactive and Evolutionary Approaches. vol. 5252, Lecture Notes in Computer Science, pp. 405-433. https://doi.org/10.1007/978-3-540-88908-3_15

Interactive multiobjective optimization from a learning perspective. / Belton, V.; Branke, J.; Eskelinen, P.; Greco, S.; Molina, J.; Ruiz, F.; Slowinski, R.; Branke, J. (Editor); Deb, K. (Editor); Mittinen, K. (Editor); Slowinski, R. (Editor).

Multiobjective Optimization Interactive and Evolutionary Approaches. Vol. 5252 2008. p. 405-433 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingChapter

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BT - Multiobjective Optimization Interactive and Evolutionary Approaches

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Belton V, Branke J, Eskelinen P, Greco S, Molina J, Ruiz F et al. Interactive multiobjective optimization from a learning perspective. In Multiobjective Optimization Interactive and Evolutionary Approaches. Vol. 5252. 2008. p. 405-433. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-540-88908-3_15