Bryan A. Tolson

According to our database, Bryan A. Tolson authored at least 15 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

The PAVICS-Hydro platform: A virtual laboratory for hydroclimatic modelling and forecasting over North America.

Richard Arsenault, David Huard, Jean-Luc Martel, Magali Troin, Juliane Mai, François Brissette, Christian Jauvin, Long Vu, James R. Craig, Trevor James Smith, Travis Logan, Bryan A. Tolson, Ming Han, Francis Gravel, Sébastien Langlois

Environ. Model. Softw., October, 2023

BasinMaker 3.0: A GIS toolbox for distributed watershed delineation of complex lake-river routing networks.

Ming Han, Hongren Shen, Bryan A. Tolson, James R. Craig, Juliane Mai, Simon G. M. Lin, Nandita B. Basu, Frezer Seid Awol

Environ. Model. Softw., 2023

2022

The pie sharing problem: Unbiased sampling of N+1 summative weights.

Juliane Mai, James R. Craig, Bryan A. Tolson

Environ. Model. Softw., 2022

A review of parallel computing applications in calibrating watershed hydrologic models.

Marjan Asgari, Wanhong Yang, John B. Lindsay, Bryan A. Tolson, Maryam Mehri Dehnavi

Environ. Model. Softw., 2022

2020

Detecting Leaks in Water Distribution Pipes Using a Deep Autoencoder and Hydroacoustic Spectrograms.

Roya Allison Cody, Bryan A. Tolson, Jeff Orchard

J. Comput. Civ. Eng., 2020

Flexible watershed simulation with the Raven hydrological modelling framework.

James R. Craig, Genevieve Brown, Robert Chlumsky, R. Wayne Jenkinson, Georg Jost, Konhee Lee, Juliane Mai, Martin Serrer, Nicholas Sgro, Mahyar Shafii, Andrew P. Snowdon, Bryan A. Tolson

Environ. Model. Softw., 2020

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

2017

Comparison of X-Band and L-Band Soil Moisture Retrievals for Land Data Assimilation.

Xiaoyong Xu, Bryan A. Tolson, Jonathan Li, Bruce Davison

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Assimilation of Synthetic Remotely Sensed Soil Moisture in Environment Canada's MESH Model.

Xiaoyong Xu, Bryan A. Tolson, Jonathan Li, Bruce Davison

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

2014

Pre-emption strategies for efficient multi-objective optimization: Application to the development of Lake Superior regulation plan.

Masoud Asadzadeh, Saman Razavi, Bryan A. Tolson, David Fay

Environ. Model. Softw., 2014

Assimilation of SMOS soil moisture in the MESH model with the ensemble Kalman filter.

Xiaoyong Xu, Jonathan Li, Bryan A. Tolson, Ralf M. Staebler, Frank Seglenieks, Bruce Davison, Amin Haghnegahdar, Eric D. Soulis

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2012

Numerical assessment of metamodelling strategies in computationally intensive optimization.

Saman Razavi, Bryan A. Tolson, Donald H. Burn

Environ. Model. Softw., 2012

A benchmarking framework for simulation-based optimization of environmental models.

L. Shawn Matott, Bryan A. Tolson, Masoud Asadzadeh

Environ. Model. Softw., 2012

2011

A New Formulation for Feedforward Neural Networks.

Saman Razavi, Bryan A. Tolson

IEEE Trans. Neural Networks, 2011

2009

A new multi-objective algorithm, pareto archived DDS.

Masoud Asadzadeh, Bryan A. Tolson

Proceedings of the Genetic and Evolutionary Computation Conference, 2009