Optimization of Groundwater Remediation with DESby Jae-Heung Yoon,
Christine A. Shoemaker, (M.ASCE),
Abstract: Evolutionary Algorithms (EAs) are non-derivative-based and stochastic op timization methods which simulate the natural evolution process. A type of EA, Derandomized Evolution Strategy (DES) is applied to the time-invariant (9 decision variables) and time-varying (54 decision variables) optimal design of groundwater bioremediation. DES shows good computational efficiency and accuracy for both the cases, even though it does not use derivative information.
Subject Headings: Remediation | Groundwater | Stochastic processes | Computing in civil engineering | Information management | Hydraulic design | Algorithms | North America | Delaware | United States
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