Show simple record

dc.contributor.authorFernando, Achela
dc.contributor.authorJayawardena, Amithirigala
dc.date.accessioned2012-05-27T23:46:39Z
dc.date.available2012-05-27T23:46:39Z
dc.date.issued2007-10
dc.identifier.issn1464-7141
dc.identifier.urihttp://hdl.handle.net/10652/1884
dc.description.abstractParameter optimisation is a significant but time consuming process that is inherent to conceptual hydrological models representing rainfall-runoff process. This study presents two modifications to achieve optimised results for a Tank Model in less computational time. Firstly, a modified Genetic algorithm (GA) is developed to enhance the fitness of the population consisting of possible solutions in each generation. Then the parallel processing capabilities of an IBM 9076 SP2 Computer is used to expedite implementation of the GA. A comparison of processing time between a serial IBM RS/6000 390 Computer and IBM 9076 SP2 supercomputer reveals that the latter can be up to 8 times faster. The effectiveness of the modified GA is tested with two Tank Models for a hypothetical catchment and a real catchment. The former showed that the parallel GA reaches a lower overall error in reduced time. The overall RMSE expressed as a percentage of actual mean flow rate improves from a 31.8% in a serial processing computer to 29.5% on the SP2 super computer. The case of the real catchment – Shek-Pi-Tau Catchment in Hong Kong – reveals that the supercomputer enhances the swiftness of the GA and achieves objective within a couple of hours.en_NZ
dc.language.isoenen_NZ
dc.publisherIWA Publishingen_NZ
dc.relation.urihttp://www.iwaponline.com/jh/009/0319/0090319.pdfen_NZ
dc.rights©IWA Publishing 2007. The definitive peer-reviewed and edited version of this article is published in Journal of Hydroinformatics 9(4), 319-329, 2007, doi:10.2166/hydro.2007.006, and is available at www.iwapublishing.comen_NZ
dc.subjectgenetic algorithmen_NZ
dc.subjecttank modelen_NZ
dc.subjectparallel processing computersen_NZ
dc.subjectparameter optimisationen_NZ
dc.subjectrainfall-runoff processen_NZ
dc.titleUse of a supercomputer to advance parameter optimisation using genetic algorithmsen_NZ
dc.typeJournal Articleen_NZ
dc.rights.holderIWA Publishingen_NZ
dc.identifier.doi10.2166/hydro.2007.006en_NZ
dc.subject.marsden091501 Computational Fluid Dynamicsen_NZ
dc.identifier.bibliographicCitationFernando, A.K., & Jayawardena, A.W. (2007). Use of a supercomputer to advance parameter optimisation using genetic algorithms. Journal of Hydroinformatics, 9(4), 319-329. doi:10.2166/hydro.2007.006en_NZ
unitec.institutionUnitec Institute of Technologyen_NZ
unitec.institutionUniversity of Hong Kongen_NZ
unitec.publication.spage319en_NZ
unitec.publication.lpage329en_NZ
unitec.publication.volume9en_NZ
unitec.publication.titleJournal of Hydroinformaticsen_NZ
unitec.peerreviewedyesen_NZ


Files in this item

Thumbnail

This item appears in

Show simple record