License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.10.1.52
URN: urn:nbn:de:0030-drops-124017
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2020/12401/
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Fonseca, Carlos M. ; Klamroth, Kathrin ; Rudolph, Günter ; Wiecek, Margaret M.
Weitere Beteiligte (Hrsg. etc.): Carlos M. Fonseca and Kathrin Klamroth and Günter Rudolph and Margaret M. Wiecek

Scalability in Multiobjective Optimization (Dagstuhl Seminar 20031)

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dagrep_v010_i001_p052_20031.pdf (3 MB)

Abstract

The Dagstuhl Seminar 20031 Scalability in Multiobjective Optimization carried on a series of six previous Dagstuhl Seminars (04461, 06501, 09041, 12041, 15031 and 18031) that were focused on Multiobjective Optimization. The continuing goal of this series is to strengthen the links between the Evolutionary Multiobjective Optimization (EMO) and the Multiple Criteria Decision Making (MCDM) communities, two of the largest communities concerned with multiobjective optimization today.
This report documents the program and the outcomes of Dagstuhl Seminar 20031 "Scalability in Multiobjective Optimization". The seminar focused on three main aspects of scalability in multiobjective optimization (MO) and their interplay, namely (1) MO with many objective functions, (2) MO with many decision makers, and (3) MO with many variables and large amounts of data.

BibTeX - Entry

@Article{fonseca_et_al:DR:2020:12401,
  author =	{Carlos M. Fonseca and Kathrin Klamroth and G{\"u}nter Rudolph and Margaret M. Wiecek},
  title =	{{Scalability in Multiobjective Optimization (Dagstuhl Seminar 20031)}},
  pages =	{52--129},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{10},
  number =	{1},
  editor =	{Carlos M. Fonseca and Kathrin Klamroth and G{\"u}nter Rudolph and Margaret M. Wiecek},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2020/12401},
  URN =		{urn:nbn:de:0030-drops-124017},
  doi =		{10.4230/DagRep.10.1.52},
  annote =	{Keywords: multiple criteria decision making, evolutionary multiobjective optimization, scalability}
}

Keywords: multiple criteria decision making, evolutionary multiobjective optimization, scalability
Collection: Dagstuhl Reports, Volume 10, Issue 1
Issue Date: 2020
Date of publication: 26.06.2020

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