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.8.1.33
URN: urn:nbn:de:0030-drops-92846
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9284/
Klamroth, Kathrin ;
Knowles, Joshua D. ;
Rudolph, Günter ;
Wiecek, Margaret M.
Weitere Beteiligte (Hrsg. etc.): Kathrin Klamroth and Joshua D. Knowles and Günter Rudolph and Margaret M. Wiecek
Personalized Multiobjective Optimization: An Analytics Perspective (Dagstuhl Seminar 18031)
Abstract
The Dagstuhl Seminar 18031 Personalization in Multiobjective Optimization: An Analytics Perspective carried on a series of five previous Dagstuhl Seminars (04461, 06501, 09041, 12041 and 15031) 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. Personalization in Multiobjective Optimization, the topic of this seminar, was motivated by the scientific challenges generated by personalization, mass customization, and mass data, and thus crosslinks application challenges with research domains integrating all aspects of EMO and MCDM. The outcome of the seminar was a new perspective on the opportunities as well as the research requirements for multiobjective optimization in the thriving fields of data analytics and personalization. Several multi-disciplinary research projects and new collaborations were initiated during the seminar, further interlacing the two communities of EMO and MCDM.
BibTeX - Entry
@Article{klamroth_et_al:DR:2018:9284,
author = {Kathrin Klamroth and Joshua D. Knowles and G{\"u}nter Rudolph and Margaret M. Wiecek},
title = {{Personalized Multiobjective Optimization: An Analytics Perspective (Dagstuhl Seminar 18031)}},
pages = {33--99},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2018},
volume = {8},
number = {1},
editor = {Kathrin Klamroth and Joshua D. Knowles and G{\"u}nter Rudolph and Margaret M. Wiecek},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2018/9284},
URN = {urn:nbn:de:0030-drops-92846},
doi = {10.4230/DagRep.8.1.33},
annote = {Keywords: multiple criteria decision making, evolutionary multiobjective optimization}
}
|
Keywords: |
|
multiple criteria decision making, evolutionary multiobjective optimization |
|
Collection: |
|
Dagstuhl Reports, Volume 8, Issue 1 |
|
Issue Date: |
|
2018 |
|
Date of publication: |
|
20.07.2018 |
