Using characteristics of the optimisation problem to determine the Genetic Algorithm population size when the number of evaluations is limited

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dc.contributor.authorGibbs, M.
dc.contributor.authorMaier, H.
dc.contributor.authorDandy, G.
dc.date.issued2015
dc.descriptionAvailable online 7 September 2014
dc.description.abstractAbstract not available
dc.description.statementofresponsibilityMatthew S. Gibbs, Holger R. Maier, Graeme C. Dandy
dc.identifier.citationEnvironmental Modelling and Software, 2015; 69:226-239
dc.identifier.doi10.1016/j.envsoft.2014.08.023
dc.identifier.issn1364-8152
dc.identifier.issn1873-6726
dc.identifier.orcidGibbs, M. [0000-0001-6653-8688]
dc.identifier.orcidMaier, H. [0000-0002-0277-6887]
dc.identifier.orcidDandy, G. [0000-0001-5846-7365]
dc.identifier.urihttp://hdl.handle.net/2440/86278
dc.language.isoen
dc.publisherElsevier
dc.rights© 2014 Elsevier Ltd. All rights reserved.
dc.source.urihttps://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
pubs.publication-statusPublished

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