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PreviewIssue DateTitleAuthor(s)
2003Max-min ant system applied to water distribution system optimisationZecchin, A.; Maier, H.; Simpson, A.; Roberts, A.; Berrisford, M.; Leonard, M.; Post, D.; International Congress on Modelling and Simulation (15th : 2003 : Townsville, Queensland)
2007Case study based convergence behaviour analysis of ACO applied to optimal design of water distribution systemsZecchin, A.; Maier, H.; Simpson, A.; Chan, F.; Tiwari, M.
2020Griffith Case Study Report - Viability Assessment: Assessment framework for bio-methane injection in gas networksCulley, S.; Zecchin, A.; Hosseini, T.; Maier, H.; Future Fuels CRC
2004Hydraulic risk assessment of water distribution systemsLeonard, M.; Maier, H.; Simpson, A.; Zecchin, A.; Roberts, A.; Berrisford, M.; Nixon, J.; Chanson, H.; Macintosh, J.; National Conference on Hydraulics in Water Engineering (8th : 2004 : Surfers Paradise, Qld.)
2018Multi-objective optimisation framework for calibration of Cellular Automata land-use modelsNewland, C.; Maier, H.; Zecchin, A.; Newman, J.; van Delden, H.
2008A new algorithm for water distribution system optimization: Discrete dynamically dimensioned searchTolson, B.; Esfahani, M.; Zecchin, A.; Maier, H.; World Environmental and Water Resources Congress (2008 : Honolulu, Hawaii)
2018Empirically derived method and software for semi-automatic calibration of Cellular Automata land-use modelsNewland, C.; Zecchin, A.; Maier, H.; Newman, J.; van Delden, H.
2014Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directionsMaier, H.; Kapelan, Z.; Kasprzyk, J.; Kollat, J.; Matott, L.; Cunha, M.; Dandy, G.; Gibbs, M.; Keedwell, E.; Marchi, A.; Ostfeld, A.; Savic, D.; Solomatine, D.; Vrugt, J.; Zecchin, A.; Minsker, B.; Barbour, E.; Kuczera, G.; Pasha, F.; Castelletti, A.; et al.
2015Improved PMI-based input variable selection approach for artificial neural network and other data driven environmental and water resource modelsLi, X.; Maier, H.; Zecchin, A.
2015Improving partial mutual information-based input variable selection by consideration of boundary issues associated with bandwidth estimationLi, X.; Zecchin, A.; Maier, H.