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Disambiguation of "Maier, Holger R."

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An integrated framework for selecting and evaluating the performance of stormwater harvesting options to supplement existing water supply systems.

, , , , , and . Environ. Model. Softw., (2019)

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Holger Maier

Frank Holger Maier

Thorsten Holger Maier

Holger Andreas Maier

R Ringseis

 

Other publications of authors with the same name

Application of two ant colony optimisation algorithms to water distribution system optimisation., , , , , and . Math. Comput. Model., 44 (5-6): 451-468 (2006)An active learning approach for identifying the smallest subset of informative scenarios for robust planning under deep uncertainty., , , and . Environ. Model. Softw., (2020)Identifying critical climate conditions for use in scenario-neutral climate impact assessments., , , and . Environ. Model. Softw., (2021)On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization., , , , , , , , , and 3 other author(s). Environ. Model. Softw., (September 2023)Improved selection strategy for multi-objective evolutionary algorithms with application to water distribution optimization problems., , and . Comput. Aided Civ. Infrastructure Eng., 38 (10): 1290-1306 (2023)Application of natural computing (computational intelligence) methods to water resources and environmental modelling.. Math. Comput. Model., 44 (5-6): 413-414 (2006)Investigation into the relationship between chlorine decay and water distribution parameters using data driven methods., , , , , and . Math. Comput. Model., 44 (5-6): 485-498 (2006)Selection of smoothing parameter estimators for general regression neural networks - Applications to hydrological and water resources modelling., , and . Environ. Model. Softw., (2014)Ant colony optimization for power plant maintenance scheduling optimization., , and . GECCO, page 249-256. ACM, (2005)Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications., and . Environ. Model. Softw., 15 (1): 101-124 (2000)