Genetic Algorithms and Neural Networks: Do Pluralized Techniques Hold Any Advantages for Designing Groundwater Quality Assurance Systems?

by J. Wayland Eheart, Univ of Illinois, Urbana, United States,



Document Type: Proceeding Paper

Part of: Water Policy and Management: Solving the Problems

Abstract:

Methods have recently been developed for designing groundwater monitoring and pollutant containment systems. These methods rely on a variety of new and classical optimization and modeling techniques. This paper discusses these techniques in a comprehensive and integrated fashion. The author's frank speculation of the future of these methods is also presented.



Subject Headings: Groundwater pollution | Neural networks | Hydraulic design | Groundwater quality | Quality control | Optimization models | Algorithms

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