Estimation of unconfined aquifer parameters by genetic algorithms

Genetic Algorithms in Aquifer Management

A new genetic algorithm based on multi niche crowding is capable of efficiently locating all the peaks of a multi-modal function. By associating these peaks with the utility accrued from different sets of decision variables it is possible to extend the use of genetic algorithms to multi criteria decision making problems. This concept is applied to address the problems arising in the context of ...

Nitrogen loss by anaerobic ammonium oxidation in unconfined aquifer soils

Anaerobic ammonium oxidation (anammox) is recognized as an important process for nitrogen cycling, yet little is known about its role in the subsurface biosphere. In this study, we investigated the presence, abundance, and role of anammox bacteria in upland soil cores from Tianjin, China (20 m depth) and Basel, Switzerland (10 m depth), using isotope-tracing techniques, (q)PCR assays, and 16 S ...

Parameter Estimation By Genetic Algorithms

Most of the existing parameter estimation methods require much auxiliary information and is not easy to handle for practical applications. In this paper , we use genetic algorithms, which are becoming an important tool for optimization problems, to estimate parameters in nonlinear regression models. The computational experiments indicate that this genetic based method is useful, eeective and ad...

Optimizing remediation of an unconfined aquifer using a hybrid algorithm.

We present a novel hybrid algorithm, integrating a genetic algorithm (GA) and constrained differential dynamic programming (CDDP), to achieve remediation planning for an unconfined aquifer. The objective function includes both fixed and dynamic operation costs. GA determines the primary structure of the proposed algorithm, and a chromosome therein implemented by a series of binary digits repres...

Estimation of Genetic Parameters