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Understanding Complexity in Multiobjective Optimization (Dagstuhl Seminar 15031)
Authors and all authors of the abstracts in this report
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Dagstuhl Reports, Volume 5, Issue 1
Volume: Dagstuhl Reports, Volume 5
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 3.0 Germany license
- Publication Date: 2015-05-18
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Salvatore Greco, Kathrin Klamroth, Joshua D. Knowles, and Günter Rudolph. Understanding Complexity in Multiobjective Optimization (Dagstuhl Seminar 15031). In Dagstuhl Reports, Volume 5, Issue 1, pp. 96-163, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)
https://doi.org/10.4230/DagRep.5.1.96
Abstract
This report documents the program and outcomes of the Dagstuhl Seminar 15031 Understanding Complexity in Multiobjective Optimization. This seminar carried on the series of four previous Dagstuhl Seminars (04461, 06501, 09041 and 12041) that were focused on Multiobjective Optimization, and strengthening the links between the Evolutionary Multiobjective Optimization (EMO) and Multiple Criteria Decision Making (MCDM) communities. The purpose of the seminar was to bring together researchers from the two communities to take part in a wide-ranging discussion about the different sources and impacts of complexity in multiobjective optimization. The outcome was a clarified viewpoint of complexity in the various facets of multiobjective optimization, leading to several research initiatives with innovative approaches for coping with complexity.
Subject Classification
Keywords
- multiple criteria decision making
- evolutionary multiobjective optimization
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