Multi-Objective Design of Natural Attenuation with Active Remediation Systems Under Uncertainty Using Genetic Algorithms
Author:
Publisher
American Society of Civil Engineers
Link
http://ascelibrary.org/doi/pdf/10.1061/40737%282004%2997
Reference20 articles.
1. Effect of Sorption Assumptions on Aquifer Remediation Designs
2. Optimal design of aquifer cleanup systems under uncertainty using a neural network and a genetic algorithm
3. Beckford O. A.B. Chan Hilton X. Liu. Development of an enhanced multi-objective robust genetic algorithm for groundwater remediation design under uncertainty. Proceedings of World Water & Environ. Resources Congress June 23-26 2003 ASCE Philadelphia PA 2003.
4. Chan Hilton A.B. and T.B. Culver. Groundwater remediation design under uncertainty using a robust genetic algorithm. Journal of Water Resources Planning and Management accepted 2003.
5. Constraint Handling for Genetic Algorithms in Optimal Remediation Design
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