Fast Quadratic Local Meta-Models for Evolutionary Optimization of Anguiliform Swimmers
dc.contributor.author
Kern, Stefan
dc.contributor.author
Hansen, Nikolaus
dc.contributor.author
Koumoutsakos, Petros
dc.contributor.editor
Neittaanmäki, P.
dc.contributor.editor
P'eriaux, J.
dc.contributor.editor
Tuovinen, T.
dc.date.accessioned
2017-06-08T17:46:50Z
dc.date.available
2017-06-08T17:46:50Z
dc.date.issued
2008
dc.identifier.isbn
978-84-96736-45-0
dc.identifier.uri
http://hdl.handle.net/20.500.11850/7438
dc.language.iso
en
dc.publisher
CIMNE
dc.title
Fast Quadratic Local Meta-Models for Evolutionary Optimization of Anguiliform Swimmers
dc.type
Conference Paper
ethz.book.title
Evolutionary and deterministic methods for design, optimization and control : applications to industrial and societal problems
ethz.journal.title
Theory and Engineering Applications of Computational Methods
ethz.pages.start
311
ethz.pages.end
316
ethz.version.edition
1st ed.
ethz.event
Conference on Evolutionary and Deterministic Methods for Design, Optimisation and Control with Applications to Indutrial and Societal Problems EUROGEN 2007
ethz.event.date
June 11-13, 2007
ethz.publication.place
Barcelona
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::03499 - Koumoutsakos, Petros (ehemalig) / Koumoutsakos, Petros (former)
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::03499 - Koumoutsakos, Petros (ehemalig) / Koumoutsakos, Petros (former)
ethz.date.deposited
2017-06-08T17:46:55Z
ethz.source
ECIT
ethz.identifier.importid
imp59364bb33f0e773593
ethz.ecitpid
pub:17994
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-20T16:54:33Z
ethz.rosetta.lastUpdated
2023-02-06T09:41:54Z
ethz.rosetta.versionExported
true
ethz.COinS
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