Cost-Effective Risk Management of Groundwater Contamination
B. S. Minsker,* D. E. Goldberg, R. Arst and J. Lee
Sponsor: U. S. Army Young Investigator Award, U. S. Army Research Office, and Presidential Early Career Award for Scientists and Engineers (PECASE)
This project builds on the work begun in the NSF project to develop a risk management model for groundwater corrective action design. The model will be enhanced to allow tradeoffs to be made among risk, cost, and cleanup time under conditions of uncertainty. Innovative advancements for improving computational efficiency of the model using advanced stochastic genetic algorithms, hybrid genetic algorithms, and hierarchical multi-population genetic algorithms are also being investigated.
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