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dc.contributor.authorLewis, Andrew
dc.contributor.authorRandall, M
dc.date.accessioned2021-07-13T23:28:11Z
dc.date.available2021-07-13T23:28:11Z
dc.date.issued2017
dc.identifier.issn0301-4797en_US
dc.identifier.doi10.1016/j.jenvman.2017.08.044en_US
dc.identifier.urihttp://hdl.handle.net/10072/405922
dc.description.abstractWater as a resource is becoming increasingly more valuable given the changes in global climate. In an agricultural sense, the role of water is vital to ensuring food security. Therefore the management of it has become a subject of increasing attention and the development of effective tools to support participative decision-making in water management will be a valuable contribution. In this paper, evolutionary computation techniques and Pareto optimisation are incorporated in a model-based system for water management. An illustrative test case modelling optimal crop selection across dry, average and wet years based on data from the Murrumbidgee Irrigation Area in Australia is presented. It is shown that sets of trade-off solutions that provide large net revenues, or minimise environmental flow deficits can be produced rapidly, easily and automatically. The system is capable of providing detailed information on optimal solutions to achieve desired outcomes, responding to a variety of factors including climate conditions and economics.en_US
dc.description.peerreviewedYesen_US
dc.languageEnglishen_US
dc.publisherElsevieren_US
dc.publisher.placeUnited Kingdom
dc.relation.ispartofpagefrom179en_US
dc.relation.ispartofpageto188en_US
dc.relation.ispartofissuePt 1en_US
dc.relation.ispartofjournalJournal of Environmental Managementen_US
dc.relation.ispartofvolume204en_US
dc.subject.fieldofresearchEnvironmental Managementen_US
dc.subject.fieldofresearchcode050205en_US
dc.subject.keywordsEvolutionary computationen_US
dc.subject.keywordsMulti-objective optimisationen_US
dc.subject.keywordsNon-dominated sorting genetic algorithm-IIen_US
dc.subject.keywordsPareto optimisationen_US
dc.subject.keywordsWater resource managementen_US
dc.titleSolving multi-objective water management problems using evolutionary computationen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationLewis, A; Randall, M, Solving multi-objective water management problems using evolutionary computation, Journal of Environmental Management, 2017, 204 (Pt 1), pp. 179-188en_US
dcterms.dateAccepted2017-08-24
dc.date.updated2021-07-13T23:26:42Z
gro.hasfulltextNo Full Text
gro.griffith.authorLewis, Andrew J.
gro.griffith.authorRandall, Marcus C.


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