Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/58602
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCao, H.en
dc.contributor.authorRecknagel, F.en
dc.date.issued2009en
dc.identifier.citationHandbook of ecological modelling and informatics, 2009 / Jorgensen, S.E., Chon, T.S., Recknagel, F. (ed./s), pp.169-186en
dc.identifier.isbn9781845642075en
dc.identifier.urihttp://hdl.handle.net/2440/58602-
dc.description.statementofresponsibilityH. Cao and F. Recknagelen
dc.description.urihttp://www.witpress.com/978-1-84564-207-5.htmlen
dc.language.isoenen
dc.publisherWIT Pressen
dc.rights© WIT Press 2009en
dc.titleHybridisation of process-based ecosystem models with evolutionary algorithms: multi-objective optimisation of process and parameter representations of the lake simulation library SAMO-OOen
dc.typeBook chapteren
dc.identifier.rmid0020097547en
dc.publisher.placeSouthampton, UKen
dc.identifier.pubid34310-
pubs.library.collectionEarth and Environmental Sciences publicationsen
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
Appears in Collections:Earth and Environmental Sciences publications
Environment Institute publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.