Abstract
Τhis paper focuses on optimal management of aquifers with pollution problems. Genetic
 algorithms are used as the optimization tool, while advective pollutant transport is simulated
 by means of a moving point technique. The approach is illustrated by means of two
 application examples. In the first we seek the maximum total clean water pumping rate Qs
 from three production wells, situated in the same restricted area with two wells that inject
 polluted water. Results show that Qs depends heavily on the dimensions of the available area.
 In the second application example, the total flow rate of the production wells is fixed and the
 minimum treatment cost of pumped water is sought. Best solutions resulting from a number of
 runs are classified in 3 different patterns, which are comparatively evaluated. Some remarks
 on taking into account dispersive mass transport conclude the paper.
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