Spatially-explicit forecasting of cyanobacteria assemblages in freshwater lakes by multi-objective hybrid evolutionary algorithms

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dc.contributor.authorCao, H.
dc.contributor.authorRecknagel, F.
dc.contributor.authorBartkow, M.
dc.date.issued2016
dc.description.abstractAbstract not available
dc.description.statementofresponsibilityHongqing Cao, Friedrich Recknagel, Michael Bartkow
dc.identifier.citationEcological Modelling, 2016; 342(C):97-112
dc.identifier.doi10.1016/j.ecolmodel.2016.09.024
dc.identifier.issn0304-3800
dc.identifier.issn1872-7026
dc.identifier.orcidRecknagel, F. [0000-0002-1028-9413]
dc.identifier.urihttp://hdl.handle.net/2440/110427
dc.language.isoen
dc.publisherElsevier
dc.relation.granthttp://purl.org/au-research/grants/arc/LP0990453
dc.rights© 2016 Elsevier B.V. All rights reserved.
dc.source.urihttps://doi.org/10.1016/j.ecolmodel.2016.09.024
dc.subjectMulti-objective optimization; genetic programming; hill climbing; multi-output rule models; cyanobacteria blooms
dc.titleSpatially-explicit forecasting of cyanobacteria assemblages in freshwater lakes by multi-objective hybrid evolutionary algorithms
dc.typeJournal article
pubs.publication-statusPublished

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