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dc.contributor.authorMontgomery, James
dc.contributor.authorFitzgerald, Andrew
dc.contributor.authorRandall, Marcus
dc.contributor.authorLewis, Andrew
dc.date.accessioned2019-07-04T12:34:06Z
dc.date.available2019-07-04T12:34:06Z
dc.date.issued2018
dc.identifier.isbn9781509060177
dc.identifier.doi10.1109/CEC.2018.8477712
dc.identifier.urihttp://hdl.handle.net/10072/382959
dc.description.abstractThe use of water resources for agricultural purposes, particularly in arid and semi-arid regions, is a matter of increasing concern across the world. Optimisation techniques can play an important role in improving the allocation of land to different crops, based on a utility function (such as net revenue) and the water resources needed to support these. Recent work proposed a model formulation for an agricultural region in the Murrumbidgee Irrigation Area of the Murray-Darling River basin in Australia, and found that the well-known NSGA-II technique could produce sensible crop mixes while preserving ground and surface water for environmental purposes. In the present study we apply Differential Evolution using two different solution representations, one of which explores the restricted space in which no land is left fallow. The results improve on those of the prior NSGA-II and demonstrate that a combination of solution representations allows Differential Evolution to more thoroughly explore the multiobjective space of profit versus environment.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherIEEE
dc.relation.ispartofconferencenameIEEE Congress on Evolutionary Computation (IEEE CEC) as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)
dc.relation.ispartofconferencetitle2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
dc.relation.ispartofdatefrom2018-07-08
dc.relation.ispartofdateto2018-07-13
dc.relation.ispartoflocationRio de Janeiro, BRAZIL
dc.relation.ispartofpagefrom86
dc.relation.ispartofpageto93
dc.subject.fieldofresearchComputation Theory and Mathematics
dc.subject.fieldofresearchcode0802
dc.titleA Computational Comparison of Evolutionary Algorithms for Water Resource Planning for Agricultural and Environmental Purposes
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.hasfulltextNo Full Text
gro.griffith.authorLewis, Andrew J.
gro.griffith.authorRandall, Marcus C.


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    Contains papers delivered by Griffith authors at national and international conferences.

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