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PreviewIssue DateTitleAuthor(s)
2018Assessing the observability of demand pattern multipliers in water distribution systems using algebraic and numerical derivativesMarchi, A.; Dandy, G.; Boccelli, D.; Rana, S.
2005Use of artificial neural networks to forecast salinity in riversDandy, G.; Bowden, G.; Maier, H.
2009Sensitivity analysis for decision-making using the MORE method-A Pareto approachRavalico, J.; Maier, H.; Dandy, G.
1996Genetic algorithm optimization of the Fort Collins-Loveland Water Distribution SystemsMurphy, L.; Simpson, A.; Dandy, G.; Frey, J.; Farrill, T.; American Water Works Association Computer Conference (1996 : Chicago, Illinois, USA)
1989Expert systems for water treatment plant operationsSimpson, A.; Dandy, G.
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)
1995Urban water distribution network optimisation - a case studySimpson, A.; Dandy, G.; Murphy, L.; Kitto, R.; Australian Water and Wastewater Association Federal Convention (16th : 1995 : Sydney, New South Wales, Australia)
1996Genetic algorithm design of piped irrigation systemsDandy, G.; Simpson, A.; Murphy, L.; North American Water and Environment Congress & Destructive Water (1996 : Anaheim, California, USA)
1996Genetic algorithm optimization: its application to design and operation of water distribution systemsFrey, J.; Simpson, A.; Dandy, G.; Murphy, L.; American Water Works Association Computer Conference (1996 : Chicago, Illinois, USA)
1995A new breakthrough technology optimizes distribution system design and operationFrey, J.; Simpson, A.; Dandy, G.; Murphy, L.; American Water Works Association Distribution System Symposium (1995 : Nashville, Tennessee, USA)