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)

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

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

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)

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)

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)

A simplified approach to produce probabilistic hydrological model predictions. - David McInerney; Mark A. Thyer; Dmitri Kavetski; Bree Bennett; Julien Lerat; Matthew S. Gibbs; George Kuczera (Environ. Model. Softw., 2018)

Moving from single values to trade-off curves for assessing the performance of water resources systems under uncertainty. - Yuan Cao; Wenyan Wu 001; Holger R. Maier; Matthew S. Gibbs (Environ. Model. Softw., 2025)