Genetic-Algorithm-Based Design of Groundwater Quality Monitoring System

摘要

This research builds on the work of Meyer and Brill (1988) and subsequent work byMeyer et al. (1990), Meyer et al. (1992), and Meyer (1992) on the optimal location of a network of groundwater monitoring wells under conditions of uncertainty. A method of optimization is developed using genetic algorithms (GAs) which allows consideration of the two objectives of Meyer et al. (1992), maximizing reliability and minimizing contaminated area, separately yet simultaneously. The GA-based solution method can generate both convex and non-convex points of the tradeoff curve, can accommodate non-linearities in the two objective functions, and is not restricted to the peculiarities of a weighted objective function. Furthermore, GAs can generate large portions of the tradeoff curve in a single iteration and may be more efficient than methods that generate only a single point at a time.