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Taming a Flood with a T-CUP - Designing Flood-Control Structures with a Genetic Algorithm

Jeff Wallace and Sushil J. Louis

Department of Computer Science
University of Nevada, Reno, USA
sushil@cs.unr.edu
http://www.cs.unr.edu/~sushil/

Abstract. This paper describes the use of a genetic algorithm to solve a hydrology design problem - determining an optimal or near-optimal prescription of Best Management Practices in a flood-prone watershed. The model has proved capable of discovering design prescriptions that are more cost-effective than existing designs, promising significant financial benefits in a shorter time period. The approach is flexible enough to be applied to any watershed with basic precipitation and soil data.

LNCS 2724, p. 2424 ff.

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