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Optimization of Groundwater Remediation with DES

by Jae-Heung Yoon,
Christine A. Shoemaker, (M.ASCE),



Document Type: Proceeding Paper

Part of: North American Water and Environment Congress & Destructive Water

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: Stochastic processes | Water treatment | Groundwater pollution | Biological processes | Algorithms | Optimization models | Mitigation and remediation

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