Aaron C. Zecchin

According to our database1, Aaron C. Zecchin authored at least 15 papers between 2005 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


A hybrid (semi) automatic calibration method for Cellular Automata land-use models: Combining evolutionary algorithms with process understanding.
Environ. Model. Softw., 2020

Empirically derived method and software for semi-automatic calibration of Cellular Automata land-use models.
Environ. Model. Softw., 2018

Multi-objective optimisation framework for calibration of Cellular Automata land-use models.
Environ. Model. Softw., 2018

An Adaptive Convergence-Trajectory Controlled Ant Colony Optimization Algorithm With Application to Water Distribution System Design Problems.
IEEE Trans. Evol. Comput., 2017

Review of literature on decision support systems for natural hazard risk reduction: Current status and future research directions.
Environ. Model. Softw., 2017

Investigating the run-time searching behavior of the differential evolution algorithm applied to water distribution system optimization.
Environ. Model. Softw., 2015

Improving the efficiency of multi-objective evolutionary algorithms through decomposition: An application to water distribution network design.
Environ. Model. Softw., 2015

Improving partial mutual information-based input variable selection by consideration of boundary issues associated with bandwidth estimation.
Environ. Model. Softw., 2015

Improved PMI-based input variable selection approach for artificial neural network and other data driven environmental and water resource models.
Environ. Model. Softw., 2015

An efficient decomposition and dual-stage multi-objective optimization method for water distribution systems with multiple supply sources.
Environ. Model. Softw., 2014

Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions.
Environ. Model. Softw., 2014

Selection of smoothing parameter estimators for general regression neural networks - Applications to hydrological and water resources modelling.
Environ. Model. Softw., 2014

Application of two ant colony optimisation algorithms to water distribution system optimisation.
Math. Comput. Model., 2006

Optimising the mutual information of ecological data clusters using evolutionary algorithms.
Math. Comput. Model., 2006

Parametric study for an ant algorithm applied to water distribution system optimization.
IEEE Trans. Evol. Comput., 2005