A computational scaling analysis of multiobjective evolutionary algorithms in long-term groundwater monitoring applications
Authors:
- J.B. KollatJKJ.B. Kollat
- P.M. ReedPRP.M. Reed
- 1 March 2007
- journal article
- Published by Elsevier in Advances in Water Resources
- Vol. 30 (3) , 408-419
Abstract
No abstract availableThis publication has 30 references indexed in Scilit:
- Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring designAdvances in Water Resources, 2006
- Evolutionary multi-objective optimization in water distribution network designEngineering Optimization, 2005
- Striking the Balance: Long-Term Groundwater Monitoring Design for Conflicting ObjectivesJournal of Water Resources Planning and Management, 2004
- A multiobjective approach to cost effective long-term groundwater monitoring using an elitist nondominated sorted genetic algorithm with historical dataJournal of Hydroinformatics, 2001
- A method for the optimal location of monitoring wells for detection of groundwater contamination in three‐dimensional heterogenous aquifersWater Resources Research, 1997
- Sampling Design Methods For Groundwater Modeling Under UncertaintyWater Resources Research, 1995
- Using Genetic Algorithms to Solve a Multiobjective Groundwater Monitoring ProblemWater Resources Research, 1995
- When enough is enough: The worth of monitoring data in aquifer remediation designWater Resources Research, 1994
- Monitoring network design to provide initial detection of groundwater contaminationWater Resources Research, 1994
- Multiobjective sampling design for parameter estimation and model discrimination in groundwater solute transportWater Resources Research, 1989