Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications. - Holger R. Maier; Graeme C. Dandy (Environ. Model. Softw., 2000)

Use of artificial neural networks for predicting optimal alum doses and treated water quality parameters. - Holger R. Maier; Nicolas Morgan; Christopher W. K. Chow (Environ. Model. Softw., 2004)

Ant colony optimization for power plant maintenance scheduling optimization. - Wai-Kuan Foong; Holger R. Maier; Angus R. Simpson (GECCO, 2005)

Parametric study for an ant algorithm applied to water distribution system optimization. - Aaron C. Zecchin; Angus R. Simpson; Holger R. Maier; John B. Nixon (IEEE Trans. Evol. Comput., 2005)

Improving Metamodel-based Optimization of Water Distribution Systems with Local Search. - Darren R. Broad; Graeme C. Dandy; Holger R. Maier; John B. Nixon (IEEE Congress on Evolutionary Computation, 2006)

Minimum Number of Generations Required for Convergence of Genetic Algorithms. - Matthew S. Gibbs; Holger R. Maier; Graeme C. Dandy; John B. Nixon (IEEE Congress on Evolutionary Computation, 2006)

Forecasting Cyanobacteria with Bayesian and Deterministic Artificial Neural Networks. - Greer B. Kingston; Holger R. Maier; Martin F. Lambert (IJCNN, 2006)

Critical Values of a Kernel Density-based Mutual Information Estimator. - Robert J. May; Graeme C. Dandy; Holger R. Maier; T. M. K. Fernando (IJCNN, 2006)

Distance-based and stochastic uncertainty analysis for multi-criteria decision analysis in Excel using Visual Basic for Applications. - K. M. Hyde; Holger R. Maier (Environ. Model. Softw., 2006)

Forecasting chlorine residuals in a water distribution system using a general regression neural network. - Gavin J. Bowden; John B. Nixon; Graeme C. Dandy; Holger R. Maier; Mike Holmes (Math. Comput. Model., 2006)

Investigation into the relationship between chlorine decay and water distribution parameters using data driven methods. - Matthew S. Gibbs; Nicolas Morgan; Holger R. Maier; Graeme C. Dandy; John B. Nixon; Mike Holmes (Math. Comput. Model., 2006)

A probabilistic method for assisting knowledge extraction from artificial neural networks used for hydrological prediction. - Greer B. Kingston; Holger R. Maier; Martin F. Lambert (Math. Comput. Model., 2006)

Application of natural computing (computational intelligence) methods to water resources and environmental modelling. - Holger R. Maier (Math. Comput. Model., 2006)

Optimising the mutual information of ecological data clusters using evolutionary algorithms. - Holger R. Maier; Aaron C. Zecchin; L. Radbone; P. Goonan (Math. Comput. Model., 2006)

Application of two ant colony optimisation algorithms to water distribution system optimisation. - Aaron C. Zecchin; Angus R. Simpson; Holger R. Maier; Michael Leonard; Andrew J. Roberts; Matthew J. Berrisford (Math. Comput. Model., 2006)

Ant colony optimization for power plant maintenance scheduling optimization - a five-station hydropower system. - Wai-Kuan Foong; Angus R. Simpson; Holger R. Maier; Stephen Stolp (Ann. Oper. Res., 2008)

Application of partial mutual information variable selection to ANN forecasting of water quality in water distribution systems. - Robert J. May; Graeme C. Dandy; Holger R. Maier; John B. Nixon (Environ. Model. Softw., 2008)

Non-linear variable selection for artificial neural networks using partial mutual information. - Robert J. May; Holger R. Maier; Graeme C. Dandy; T. M. K. Gayani Fernando (Environ. Model. Softw., 2008)

A genetic algorithm calibration method based on convergence due to genetic drift. - Matthew S. Gibbs; Graeme C. Dandy; Holger R. Maier (Inf. Sci., 2008)

Recent Advances and Future Challenges for Artificial Neural Systems in Geotechnical Engineering Applications. - Mohamed A. Shahin; Mark B. Jaksa; Holger R. Maier (Adv. Artif. Neural Syst., 2009)

Sensitivity analysis for decision-making using the MORE method - A Pareto approach. - Jakin K. Ravalico; Holger R. Maier; Graeme C. Dandy (Reliab. Eng. Syst. Saf., 2009)

Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions. - Holger R. Maier; Ashu Jain; Graeme C. Dandy; K. P. Sudheer (Environ. Model. Softw., 2010)

Management Option Rank Equivalence (MORE) - A new method of sensitivity analysis for decision-making. - Jakin K. Ravalico; Graeme C. Dandy; Holger R. Maier (Environ. Model. Softw., 2010)

Data splitting for artificial neural networks using SOM-based stratified sampling. - Robert J. May; Holger R. Maier; Graeme C. Dandy (Neural Networks, 2010)

A hydraulic mixing-cell method to quantify the groundwater component of streamflow within spatially distributed fully integrated surface water-groundwater flow models. - Daniel Partington; Philip Brunner; Craig T. Simmons; René Therrien; A. D. Werner; Graeme C. Dandy; Holger R. Maier (Environ. Model. Softw., 2011)

A generic framework for regression regionalization in ungauged catchments. - Matthew S. Gibbs; Holger R. Maier; Graeme C. Dandy (Environ. Model. Softw., 2012)

Selecting among five common modelling approaches for integrated environmental assessment and management. - Rebecca A. Kelly; Anthony J. Jakeman; Olivier Barreteau; Mark E. Borsuk; Sondoss El Sawah; Serena H. Hamilton; Hans Jørgen Henriksen; Sakari Kuikka; Holger R. Maier; Andrea Emilio Rizzoli; Hedwig van Delden; Alexey A. Voinov (Environ. Model. Softw., 2013)

Framework for assessing and improving the performance of recursive digital filters for baseflow estimation with application to the Lyne and Hollick filter. - Li Li; Holger R. Maier; Martin F. Lambert; Craig T. Simmons; Daniel Partington (Environ. Model. Softw., 2013)

What constitutes a good literature review and why does its quality matter? - Holger R. Maier (Environ. Model. Softw., 2013)

Optimal sequencing of water supply options at the regional scale incorporating alternative water supply sources and multiple objectives. - Eva H. Y. Beh; Graeme C. Dandy; Holger R. Maier; Fiona L. Paton (Environ. Model. Softw., 2014)

An evaluation framework for input variable selection algorithms for environmental data-driven models. - Stefano Galelli; Greer B. Humphrey; Holger R. Maier; Andrea Castelletti; Graeme C. Dandy; Matthew S. Gibbs (Environ. Model. Softw., 2014)

Performance assessment and improvement of recursive digital baseflow filters for catchments with different physical characteristics and hydrological inputs. - Li Li; Holger R. Maier; Daniel Partington; Martin F. Lambert; Craig T. Simmons (Environ. Model. Softw., 2014)

Selection of smoothing parameter estimators for general regression neural networks - Applications to hydrological and water resources modelling. - Xuyuan Li; Aaron C. Zecchin; Holger R. Maier (Environ. Model. Softw., 2014)

Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions. - Holger R. Maier; Zoran Kapelan; Joseph R. Kasprzyk; Joshua B. Kollat; L. Shawn Matott; Maria C. Cunha; Graeme C. Dandy; Matthew S. Gibbs; Ed Keedwell; Angela Marchi; Avi Ostfeld; Dragan A. Savic; et al. (Environ. Model. Softw., 2014)

Integrated framework for assessing urban water supply security of systems with non-traditional sources under climate change. - Fiona L. Paton; Graeme C. Dandy; Holger R. Maier (Environ. Model. Softw., 2014)

Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling. - Wenyan Wu 001; Graeme C. Dandy; Holger R. Maier (Environ. Model. Softw., 2014)

Scenario driven optimal sequencing under deep uncertainty. - Eva H. Y. Beh; Holger R. Maier; Graeme C. Dandy (Environ. Model. Softw., 2015)

Improved genetic algorithm optimization of water distribution system design by incorporating domain knowledge. - Weiwei Bi; Graeme C. Dandy; Holger R. Maier (Environ. Model. Softw., 2015)

A systematic approach to determining metamodel scope for risk-based optimization and its application to water distribution system design. - Darren R. Broad; Graeme C. Dandy; Holger R. Maier (Environ. Model. Softw., 2015)

Using characteristics of the optimisation problem to determine the Genetic Algorithm population size when the number of evaluations is limited. - Matthew S. Gibbs; Holger R. Maier; Graeme C. Dandy (Environ. Model. Softw., 2015)

Assessment of the internal dynamics of the Australian Water Balance Model under different calibration regimes. - Li Li; Martin F. Lambert; Holger R. Maier; Daniel Partington; Craig T. Simmons (Environ. Model. Softw., 2015)

Improved PMI-based input variable selection approach for artificial neural network and other data driven environmental and water resource models. - Xuyuan Li; Holger R. Maier; Aaron C. Zecchin (Environ. Model. Softw., 2015)

Improving partial mutual information-based input variable selection by consideration of boundary issues associated with bandwidth estimation. - Xuyuan Li; Aaron C. Zecchin; Holger R. Maier (Environ. Model. Softw., 2015)

Thematic issue on Evolutionary Algorithms in Water Resources. - Holger R. Maier; Zoran Kapelan; Joseph R. Kasprzyk; L. Shawn Matott (Environ. Model. Softw., 2015)

Integrating modelling and smart sensors for environmental and human health. - Stefan Reis; Edmund Y. W. Seto; Amanda Northcross; Nigel W. T. Quinn; Matteo Convertino; Rod L. Jones; Holger R. Maier; Uwe Schlink; Susanne Steinle; Massimo Vieno; Michael C. Wimberly (Environ. Model. Softw., 2015)

A computational software tool for the minimization of costs and greenhouse gas emissions associated with water distribution systems. - Christopher S. Stokes; Angus R. Simpson; Holger R. Maier (Environ. Model. Softw., 2015)

Best practices for conceptual modelling in environmental planning and management. - Robert M. Argent; Richard S. Sojda; Carlo Giupponi; Brian S. McIntosh; Alexey A. Voinov; Holger R. Maier (Environ. Model. Softw., 2016)

A modified Sobol′ sensitivity analysis method for decision-making in environmental problems. - Arman Ganji; Holger R. Maier; Graeme C. Dandy (Environ. Model. Softw., 2016)

An R package for modelling actual, potential and reference evapotranspiration. - Danlu Guo; Seth Westra; Holger R. Maier (Environ. Model. Softw., 2016)

An uncertain future, deep uncertainty, scenarios, robustness and adaptation: How do they fit together? - Holger R. Maier; Joseph H. A. Guillaume; Hedwig van Delden; Graeme A. Riddell; Marjolijn Haasnoot; Jan H. Kwakkel (Environ. Model. Softw., 2016)

Framework for computationally efficient optimal crop and water allocation using ant colony optimization. - Duc Cong Hiep Nguyen; Holger R. Maier; Graeme C. Dandy; James C. Ascough II (Environ. Model. Softw., 2016)

Including stakeholder input in formulating and solving real-world optimisation problems: Generic framework and case study. - Wenyan Wu 001; Holger R. Maier; Graeme C. Dandy; Rosemary Leonard; Kathryn Bellette; Susan M. Cuddy; Shiroma Maheepala (Environ. Model. Softw., 2016)

Robust optimization of water infrastructure planning under deep uncertainty using metamodels. - Eva H. Y. Beh; Feifei Zheng; Graeme C. Dandy; Holger R. Maier; Zoran Kapelan (Environ. Model. Softw., 2017)

Framework for minimising the impact of regional shocks on global food security using multi-objective ant colony optimisation. - Peter Golding; Sam Kapadia; Stella Naylor; Jonathan Schulz; Holger R. Maier; Upmanu Lall; Marijn Van der Velde (Environ. Model. Softw., 2017)

A tribute in memory of Dr. James (Jim) C. Ascough II. - Tim R. Green; Olaf David; Holger R. Maier (Environ. Model. Softw., 2017)

Improved validation framework and R-package for artificial neural network models. - Greer B. Humphrey; Holger R. Maier; Wenyan Wu 001; Nick J. Mount; Graeme C. Dandy; Robert J. Abrahart; Christian W. Dawson (Environ. Model. Softw., 2017)

A multi-stakeholder portfolio optimization framework applied to stormwater best management practice (BMP) selection. - Michael Di Matteo; Graeme C. Dandy; Holger R. Maier (Environ. Model. Softw., 2017)

Review of literature on decision support systems for natural hazard risk reduction: Current status and future research directions. - Jeffrey P. Newman; Holger R. Maier; Graeme A. Riddell; Aaron C. Zecchin; James E. Daniell; Andreas Maximilian Schaefer; Hedwig van Delden; Bijan Khazai; Michael John O'Flaherty; Charles Peter Newland (Environ. Model. Softw., 2017)

Optimization of irrigation scheduling using ant colony algorithms and an advanced cropping system model. - Duc Cong Hiep Nguyen; James C. Ascough II; Holger R. Maier; Graeme C. Dandy; Allan A. Andales (Environ. Model. Softw., 2017)

An Adaptive Convergence-Trajectory Controlled Ant Colony Optimization Algorithm With Application to Water Distribution System Design Problems. - Feifei Zheng; Aaron C. Zecchin; Jeffery P. Newman; Holger R. Maier; Graeme C. Dandy (IEEE Trans. Evol. Comput., 2017)

Multi-objective optimisation framework for calibration of Cellular Automata land-use models. - Charles Peter Newland; Holger R. Maier; Aaron C. Zecchin; Jeffrey P. Newman; Hedwig van Delden (Environ. Model. Softw., 2018)

Empirically derived method and software for semi-automatic calibration of Cellular Automata land-use models. - Charles Peter Newland; Aaron C. Zecchin; Holger R. Maier; Jeffrey P. Newman; Hedwig van Delden (Environ. Model. Softw., 2018)

An integrated framework for selecting and evaluating the performance of stormwater harvesting options to supplement existing water supply systems. - Graeme C. Dandy; Angela Marchi; Holger R. Maier; John Kandulu; Darla Hatton MacDonald; Arman Ganji (Environ. Model. Softw., 2019)

Introductory overview: Optimization using evolutionary algorithms and other metaheuristics. - Holger R. Maier; Saman Razavi; Zoran Kapelan; L. Shawn Matott; Joseph R. Kasprzyk; Bryan A. Tolson (Environ. Model. Softw., 2019)

Controlling rainwater storage as a system: An opportunity to reduce urban flood peaks for rare, long duration storms. - Michael Di Matteo; Ruijie Liang; Holger R. Maier; Mark A. Thyer; Angus R. Simpson; Graeme C. Dandy; Ben Ernst (Environ. Model. Softw., 2019)

Many-objective portfolio optimization approach for stormwater management project selection encouraging decision maker buy-in. - Michael Di Matteo; Holger R. Maier; Graeme C. Dandy (Environ. Model. Softw., 2019)

An active learning approach for identifying the smallest subset of informative scenarios for robust planning under deep uncertainty. - Federico Giudici; Andrea Castelletti; Matteo Giuliani; Holger R. Maier (Environ. Model. Softw., 2020)

A hybrid (semi) automatic calibration method for Cellular Automata land-use models: Combining evolutionary algorithms with process understanding. - Charles Peter Newland; Hedwig van Delden; Aaron C. Zecchin; Jeffrey P. Newman; Holger R. Maier (Environ. Model. Softw., 2020)

A modelling framework and R-package for evaluating system performance under hydroclimate variability and change. - Bree Bennett; Anjana Devanand; Sam Culley; Seth Westra; Danlu Guo; Holger R. Maier (Environ. Model. Softw., 2021)

Identifying critical climate conditions for use in scenario-neutral climate impact assessments. - Sam Culley; Holger R. Maier; Seth Westra; Bree Bennett (Environ. Model. Softw., 2021)

Guidance framework and software for understanding and achieving system robustness. - Cameron McPhail; Holger R. Maier; Seth Westra; Leon van der Linden; Jan H. Kwakkel (Environ. Model. Softw., 2021)

The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support. - Saman Razavi; Anthony J. Jakeman; Andrea Saltelli; Clémentine Prieur; Bertrand Iooss; Emanuele Borgonovo; Elmar Plischke; Samuele Lo Piano; Takuya Iwanaga; William E. Becker; Stefano Tarantola; Joseph H. A. Guillaume; et al. (Environ. Model. Softw., 2021)

Identification of metrics suitable for determining the features of real-world optimisation problems. - S. Zhu; Holger R. Maier; Aaron C. Zecchin (Environ. Model. Softw., 2022)

Improved selection strategy for multi-objective evolutionary algorithms with application to water distribution optimization problems. - Peng Wang; Aaron C. Zecchin; Holger R. Maier (Comput. Aided Civ. Infrastructure Eng., 2023)

TALKS: A systematic framework for resolving model-data discrepancies. - Maria P. Vilas; Felix Egger; Matthew P. Adams; Holger R. Maier; Barbara J. Robson; Jonathan Ferrer-Mestres; Lachlan K. Stewart; Paul Maxwell; Katherine R. O'Brien (Environ. Model. Softw., 2023)

Exploding the myths: An introduction to artificial neural networks for prediction and forecasting. - Holger R. Maier; Stefano Galelli; Saman Razavi; Andrea Castelletti; Andrea Emilio Rizzoli; Ioannis N. Athanasiadis; Miquel Sànchez-Marrè; Marco Acutis; Wenyan Wu 001; Greer B. Humphrey (Environ. Model. Softw., 2023)

On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization. - Holger R. Maier; Feifei Zheng; Hoshin V. Gupta; Junyi Chen; Juliane Mai; Dragan A. Savic; Ralf Loritz; Wenyan Wu 001; Danlu Guo; Andrew Bennett; Anthony J. Jakeman; Saman Razavi; et al. (Environ. Model. Softw., 2023)

Beyond engineering: A review of reservoir management through the lens of wickedness, competing objectives and uncertainty. - Wenyan Wu 001; Leila Eamen; Graeme C. Dandy; Saman Razavi; George Kuczera; Holger R. Maier (Environ. Model. Softw., 2023)

Framework for considering the interactions between climate change, socio-economic development and land use planning in the assessment of future flood risk. - Eike M. Hamers; Holger R. Maier; Aaron C. Zecchin; Hedwig van Delden (Environ. Model. Softw., 2024)

An R package to partition observation data used for model development and evaluation to achieve model generalizability. - Yiran Ji; Feifei Zheng; Jinhua Wen; Qifeng Li; Junyi Chen; Holger R. Maier; Hoshin V. Gupta (Environ. Model. Softw., 2025)