DagRep.2.1.50.pdf
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Learning in Multiobjective Optimization (Dagstuhl Seminar 12041)
Authors and all authors of the abstracts in this report
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Part of:
Issue:
Dagstuhl Reports, Volume 2, Issue 1
Volume: Dagstuhl Reports, Volume 2
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license
- Publication Date: 2012-05-10
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Salvatore Greco, Joshua D. Knowles, Kaisa Miettinen, and Eckart Zitzler. Learning in Multiobjective Optimization (Dagstuhl Seminar 12041). In Dagstuhl Reports, Volume 2, Issue 1, pp. 50-99, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)
https://doi.org/10.4230/DagRep.2.1.50
Abstract
This report documents the programme and outcomes of the Dagstuhl Seminar 12041 "Learning in Multiobjective Optimization". The purpose of the seminar was to bring together researchers from the two main communities studying multiobjective optimization, Multiple Criteria Decision Making and Evolutionary Multiobjective Optimization, to take part in a wide-ranging discussion of what constitutes learning in multiobjective optimization, how it can be facilitated, and how it can be measured. The outcome was a deeper, more integrated understanding of the whole problem-solving process in multiobjective optimization from the viewpoint of learning, and several concrete research projects directly addressing different aspects of learning.
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Keywords
- multiple criteria decision making
- evolutionary multiobjective optimization
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