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Results 11-18 of 18 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2006Minimum number of generations required for convergence of genetic algorithmsGibbs, M.; Maier, H.; Dandy, G.; Nixon, J.; Yen, G.; IEEE Congress on Evolutionary Computation (2006 : Vancouver, B.C.)
2006Optimal design of water distribution systems including water quality and system uncertaintyBroad, D.; Maier, H.; Dandy, G.; Nixon, J.; International Symposium on Water Distribution Systems Analysis (8th : 2006 : Cincinnatti, OH)
2005Parametric study for an ant algorithm applied to water distribution system optimizationZecchin, A.; Simpson, A.; Maier, H.; Nixon, J.
2007Ant colony optimization applied to water distribution system design: Comparative study of five algorithmsZecchin, A.; Maier, H.; Simpson, A.; Leonard, M.; Nixon, J.
2012Improved understanding of the searching behavior of ant colony optimization algorithms applied to the water distribution design problemZecchin, A.; Simpson, A.; Maier, H.; Marchi, A.; Nixon, J.
2006Investigation into the relationship between chlorine decay and water distribution parameters using data driven methodsGibbs, M.; Morgan, N.; Maier, H.; Dandy, G.; Nixon, J.; Holmes, M.
2006Forecasting chlorine residuals in a water distribution system using a general regression neural networkBowden, G.; Nixon, J.; Dandy, G.; Maier, H.; Holmes, M.
2008Application of partial mutual information variable selection to ANN forecasting of water quality in water distribution systemsMay, R.; Dandy, G.; Maier, H.; Nixon, J.

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