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Results 11-20 of 20 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
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.
2014The Battle of the Water Networks II (BWN-II)Marchi, A.; Salomons, E.; Ostfeld, A.; Kapelan, Z.; Simpson, A.; Zecchin, A.; Maier, H.; Wu, Z.; Elsayed, S.M.; Song, Y.; Walski, T.; Stokes, C.; Wu, W.; Dandy, G.; Alvisi, S.; Creaco, E.; Franchini, M.; Saldarriaga, J.; Páez, D.; Hernández, D.; et al.
2006Application of two ant colony optimisation algorithms to water distribution system optimisationZecchin, A.; Simpson, A.; Maier, H.; Leonard, M.; Roberts, A.; Berrisford, M.
2009Hybrid discrete dynamically dimensioned search (HD-DDS) algorithm for water distribution system design optimizationTolson, B.; Asadzadeh, M.; Maier, H.; Zecchin, A.
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.
2003Ant colony optimization for design of water distribution systemsMaier, H.; Simpson, A.; Zecchin, A.; Foong, W.; Phang, K.; Seah, H.; Tan, C.
2014Selection of smoothing parameter estimators for general regression neural networks - applications to hydrological and water resources modellingLi, X.; Zecchin, A.; Maier, H.
2006Optimising the mutual information of ecological data clusters using evolutionary algorithmsMaier, H.; Zecchin, A.; Radbone, L.; Goonan, P.
2018Enhancing the policy relevance of exploratory scenarios: generic approach and application to disaster risk reductionRiddell, G.; van Delden, H.; Dandy, G.; Zecchin, A.; Maier, H.

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