1. Adelaide Research & Scholarship

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Results 11-20 of 166 (Search time: 0.004 seconds).
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PreviewIssue DateTitleAuthor(s)
2012Comparison of simplified methods for the optimisation of water distribution systemsMarchi, A.; Dandy, G.; 14th Water Distribution Systems Analysis Conference (24 Sep 2012 - 27 Sep 2012 : Adelaide, South Australia)
2012Retraining of metamodels for the optimisation of water distribution systemsBi, W.; Dandy, G.; 14th Water Distribution Systems Analysis Conference (WSDA 2012) (24 Sep 2012 - 27 Sep 2012 : Adelaide, South Australia)
1996Genetic algorithm pipe network optimization: The next generation in distribution system analysisFrey, J.; Simpson, A.; Dandy, G.; Murphy, L.; Farrill, T.
1996Genetic algorithm optimization identifies lowest cost distribution system design and operating solutionsFrey, J.; Dandy, G.; Murphy, L.; Simpson, A.; American Water Works Association Annual Conference (1996 : Toronto, Ontario)
2002Ant colony optimisation of a general regression neural network for forecasting water qualityBowden, G.; Dandy, G.; Maier, H.; International Conference on Hydroinformatics (5th : 2002 : Cardiff, Great Britain)
1999Concept design of water distribution systems using genetic algorithm optimizationMurphy, L.; Dandy, G.; Simpson, A.; Frey, J.; Information Management and Technology Conference, IMTech '99 (1999 : New Orleans, Louisiana, USA)
2003Forecasting chlorine residuals in a water distribution system using an artificial neural networkNixon, J.; Bowden, G.; Dandy, G.; Maier, H.; Holmes, M.; Australian Water Association. South Australian Branch. Regional Conference (2003 : Adelaide, S. Aust.)
2006An overview of a generic, real-time, near-optimal control system for water-distribution networksRao, Z.; Jamieson, D.; Dandy, G.; Baoxing, D.; IWA World Water Congress (5th : 2006 : Beijing, China)
2009Determination of practical genetic algorithm parameter settings: Applications to the operation of water distribution systemsGibbs, M.; Maier, H.; Dandy, G.
2008AI techniques for hydrological Modeling and mangement. II: OptimizationHumphrey, G.; Dandy, G.; Maier, H.; Robinson, L.

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