Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/86278
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dc.contributor.authorGibbs, M.-
dc.contributor.authorMaier, H.-
dc.contributor.authorDandy, G.-
dc.date.issued2015-
dc.identifier.citationEnvironmental Modelling and Software, 2015; 69:226-239-
dc.identifier.issn1364-8152-
dc.identifier.issn1873-6726-
dc.identifier.urihttp://hdl.handle.net/2440/86278-
dc.descriptionAvailable online 7 September 2014-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityMatthew S. Gibbs, Holger R. Maier, Graeme C. Dandy-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2014 Elsevier Ltd. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.envsoft.2014.08.023-
dc.subjectGenetic Algorithms; Water resources; Calibration; Fitness function analysis; Convergence; Water distribution systems-
dc.titleUsing characteristics of the optimisation problem to determine the Genetic Algorithm population size when the number of evaluations is limited-
dc.typeJournal article-
dc.identifier.doi10.1016/j.envsoft.2014.08.023-
pubs.publication-statusPublished-
dc.identifier.orcidGibbs, M. [0000-0001-6653-8688]-
dc.identifier.orcidMaier, H. [0000-0002-0277-6887]-
dc.identifier.orcidDandy, G. [0000-0001-5846-7365]-
Appears in Collections:Aurora harvest 2
Civil and Environmental Engineering publications

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