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.3.7.1
URN: urn:nbn:de:0030-drops-42603
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2013/4260/
Doerr, Benjamin ;
Hansen, Nikolaus ;
Shapiro, Jonathan L. ;
Whitley, L. Darrell
Weitere Beteiligte (Hrsg. etc.): Benjamin Doerr and Nikolaus Hansen and Jonathan L. Shapiro and L. Darrell Whitley
Theory of Evolutionary Algorithms (Dagstuhl Seminar 13271)
Abstract
This report documents the talks and discussions of Dagstuhl Seminar 13271 "Theory of Evolutionary Algorithms". This seminar, now in its 7th edition, is the main meeting point of the highly active theory of randomized search heuristics subcommunities in Australia, Asia, North America and Europe. Topics intensively discussed include a complexity theory for randomized search heuristics, evolutionary computation in noisy settings, the drift analysis technique, and parallel evolutionary computation.
BibTeX - Entry
@Article{doerr_et_al:DR:2013:4260,
author = {Benjamin Doerr and Nikolaus Hansen and Jonathan L. Shapiro and L. Darrell Whitley},
title = {{Theory of Evolutionary Algorithms (Dagstuhl Seminar 13271)}},
pages = {1--28},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2013},
volume = {3},
number = {7},
editor = {Benjamin Doerr and Nikolaus Hansen and Jonathan L. Shapiro and L. Darrell Whitley},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2013/4260},
URN = {urn:nbn:de:0030-drops-42603},
doi = {10.4230/DagRep.3.7.1},
annote = {Keywords: evolutionary algorithms, optimization, search heuristics, algorithms, artificial intelligence}
}
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Keywords: |
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evolutionary algorithms, optimization, search heuristics, algorithms, artificial intelligence |
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Collection: |
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Dagstuhl Reports, Volume 3, Issue 7 |
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Issue Date: |
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2013 |
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Date of publication: |
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13.11.2013 |
