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Results 1-10 of 18 (Search time: 0.005 seconds).
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PreviewIssue DateTitleAuthor(s)
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.
2007Case study based convergence behaviour analysis of ACO applied to optimal design of water distribution systemsZecchin, A.; Maier, H.; Simpson, 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.
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.
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)
2003Ant colony optimization for design of water distribution systemsMaier, H.; Simpson, A.; Zecchin, A.; Foong, W.; Phang, K.; Seah, H.; Tan, C.
2006Optimising the mutual information of ecological data clusters using evolutionary algorithmsMaier, H.; Zecchin, A.; Radbone, L.; Goonan, P.
2007Ant colony optimization applied to water distribution system design: Comparative study of five algorithmsZecchin, A.; Maier, H.; Simpson, A.; Leonard, M.; Nixon, J.