License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.10361.1
URN: urn:nbn:de:0030-drops-28180
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2010/2818/
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Auger, Anne ;
Shapiro, Jonathan L. ;
Whitley, L. Darrell ;
Witt, Carsten
10361 Abstracts Collection and Executive Summary -- Theory of Evolutionary Algorithms
Abstract
From September 5 to 10, the Dagstuhl Seminar 10361 ``Theory of Evolutionary Algorithms '' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics.
During the seminar, several participants presented their current
research, and ongoing work and open problems were discussed. Abstracts of
the presentations given during the seminar as well as abstracts of
seminar results and ideas are put together in this paper. The first section
describes the seminar topics and goals in general.
BibTeX - Entry
@InProceedings{auger_et_al:DagSemProc.10361.1,
author = {Auger, Anne and Shapiro, Jonathan L. and Whitley, L. Darrell and Witt, Carsten},
title = {{10361 Abstracts Collection and Executive Summary – Theory of Evolutionary Algorithms}},
booktitle = {Theory of Evolutionary Algorithms},
pages = {1--19},
series = {Dagstuhl Seminar Proceedings (DagSemProc)},
ISSN = {1862-4405},
year = {2010},
volume = {10361},
editor = {Anne Auger and Jonathan L. Shapiro and L. Darrell Whitley and Carsten Witt},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2010/2818},
URN = {urn:nbn:de:0030-drops-28180},
doi = {10.4230/DagSemProc.10361.1},
annote = {Keywords: Evolutionary algorithms, bio-inspired search heuristics, theoretical analysis, optimization time}
}
Keywords: |
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Evolutionary algorithms, bio-inspired search heuristics, theoretical analysis, optimization time |
Collection: |
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10361 - Theory of Evolutionary Algorithms |
Issue Date: |
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2010 |
Date of publication: |
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25.11.2010 |