Matthew S. Gibbs

According to our database, Matthew S. Gibbs authored at least 10 papers between 2006 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Enhancing riverine cyanobacterial bloom prediction: A hybrid deep learning approach combining wavelet decomposition, double-layer LSTM, ARIMA, and residual compensation.

Bao Liu, Jiaxin Li, Xianfu Jiang, Matthew Gibbs, Zirun Zhu, Xueqing Wang, Klaus Joehnk, Lei Gao

Environ. Model. Softw., 2026

2025

Moving from single values to trade-off curves for assessing the performance of water resources systems under uncertainty.

Yuan Cao, Wenyan Wu, Holger R. Maier, Matthew S. Gibbs

Environ. Model. Softw., 2025

2018

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

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

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, Dimitri P. Solomatine, Jasper A. Vrugt, Aaron C. Zecchin, Barbara S. Minsker, E. J. Barbour, George Kuczera, F. Pasha, Andrea Castelletti, Matteo Giuliani, Patrick M. Reed

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

2012

A generic framework for regression regionalization in ungauged catchments.

Matthew S. Gibbs, Holger R. Maier, Graeme C. Dandy

Environ. Model. Softw., 2012

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

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

Minimum Number of Generations Required for Convergence of Genetic Algorithms.

Matthew S. Gibbs, Holger R. Maier, Graeme C. Dandy, John B. Nixon

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006